Dialed In Data Jobs in Usa

About the Role

Our Decision Intelligence (DI) team is seeking a Senior / Lead Data Architect to drive enterprise data strategy and accelerate AI‑enabled transformation across McKesson. DI plays a critical role in enabling data‑driven change and delivering measurable business value through high‑quality data, advanced analytics, and intelligent automation.

This role will define and evolve the enterprise‑wide data and semantic architecture required to support AI‑driven insights, agentic automation, and next‑generation data products. The ideal candidate is a strategic thought partner, a hands‑on architect, and a leader capable of translating business outcomes into scalable technical solutions.

Responsibilities

Data Architecture Leadership

• Architect canonical data domains across customer, product, pricing, supply chain, contracting, and financial performance.
• Design semantic layers, business ontologies, subject‑area models, and metric definition frameworks to power enterprise AI agents and decisioning systems.
• Define architectural principles for data interoperability, lineage, access control, security, and multi‑cloud integration.
• Align data platform and architecture decisions with the USPD AI Roadmap and enterprise AI strategy.

Establish standards and patterns for:

• RAG pipelines
• Vector search
• Metadata-driven orchestration
• Multi-modal ingestion (text, events, real-time signals)

Provide architectural oversight and strategic guidance across enterprise data products including:

• Finance, Pricing, and Supply Chain Data Products
• FIA
• ContractIQ
• Specialty Leakage Agents
• Design a robust, scalable, and interoperable data environment that supports AI-ready, governed, high-quality enterprise data.
• Influence programs and project teams on best practices related to data quality, architecture, modeling, observability, and governance.
• Leverage data architecture frameworks to translate complex relational entities into business cases, use cases, and AI-enablement requirements.
• Partner with product, engineering, and analytics leaders to accelerate data product creation and improve enterprise decision intelligence maturity.

Advanced Data System Design

• Architect complex distributed data systems that ensure scalability, performance, reliability, and real-time integration across business-critical operations.
• Design and govern enterprise-wide data models, data flows, reference architectures, and integration patterns.

Produce high-quality data design deliverables including:

• Data models
• Entity relationship diagrams (ERDs)
• Data flow diagrams
• System interface schemas
• Comprehensive data dictionaries and metadata documentation
• Ensure optimal functioning of AI/ML pipelines, including data quality controls, observability patterns, and architecture for low-latency analytics.
• Guide engineering teams on reusable patterns for ingestion, transformation, curation, semantic enrichment, and operationalization.

Minimum Qualifications

• 7+ years of experience in data engineering, data architecture, or enterprise data platform development.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.

Required Skills

• 7+ years designing enterprise data architecture across large, complex organizations.
• Demonstrated experience with Enterprise data modeling, semantic layers, canonical domains
• Large-scale integration across heterogeneous systems
• Databricks, Snowflake, MDM platforms, SAP, Salesforce/Conga
• Designing intuitive architectural patterns to simplify complex data landscapes.
• Strong understanding of data quality frameworks, governance, lineage, metadata, and regulatory compliance.

Leadership Skills

• Ownership-driven leader with a track record of guiding engineering teams through delivery.
• Acts as a change champion, elevating architecture maturity and influencing cross-functional adoption of best practices.

Strategic Thinking

• Strong analytical capability and the ability to develop long-term data strategies aligned to enterprise objectives and future-state AI readiness.

Problem Solving

• Creative, innovative problem solver capable of architecting solutions for highly complex data and AI challenges.

Additive Manufacturing Data Integration Engineer

Hybrid – Washington, DC (20036)

Up to $135,000

Travel ~25%

We’re looking for an Additive Manufacturing Data Integration Engineer to support external contributors and help prepare real‑world AM data for our AI‑ready platform. You’ll work directly with contributor teams, guide data preparation efforts, and ensure datasets are accurate, consistent, and ready for integration.

Responsibilities

• Serve as the main technical point of contact for external AM data contributors.
• Manage contributor timelines, milestones, and deliverables.
• Clean, transform, and curate AM data for ingestion.
• Interpret and validate AM data such as machine logs, build parameters, material properties, and inspection results.
• Build models that connect AM materials, processes, and performance outcomes.
• Apply internal data schemas for consistency across datasets.
• Create metadata templates, ingestion guides, and data quality reports.
• Provide clear feedback to improve contributor data quality.
• Maintain onboarding materials and playbooks for future contributors.

Preferred Qualifications

• Advanced degree in mechanical engineering, manufacturing engineering, materials science, materials informatics, or related field.
• 5+ years in Additive Manufacturing development.
• 3+ years in data science, data management, or similar roles.
• Experience with SQL.
• Proven experience leading technical projects.
• Experience working within or contributing to technical standards.

Job Summary:

Our client is seeking a Senior Data Analytics Engineer (Customer Data) to join their team! This position is located in Irving, Texas.

Duties:

• Support cross-functional teams including Marketing, Data Science, Product, and Digital
• Build datasets that power: customer segmentation, personalization workflows, campaign and lifecycle analytics, BI dashboards and KPIs and real-time and ML-driven customer experiences
• Build, optimize, and maintain customer data pipelines using PySpark/Databricks
• Transform raw customer data into analytics‑ready datasets for reporting, segmentation, personalization, and AI/ML applications
• Develop customer behavior metrics, campaign insights, and lifecycle reporting layers
• Design datasets used by Power BI/Tableau; dashboard creation is a plus, not required
• Optimize Databricks performance such as: skewed joins, partitioning, sorting, caching/persist strategy
• Work across AWS/Azure/GCP and integrate pipelines with CDPs
• Participate in ingestion and digestion phases to shape MarTech and BI analytical layers
• Document and uphold data engineering standards, governance, and best practices across teams

Desired Skills/Experience:

• 6+ years in Data Engineering or Analytics Engineering
• Strong hands-on experience with: Databricks, PySpark, Python and SQL
• Proven experience with customer/marketing data: segmentation, personalization, campaign analytics, retention, behavioral metrics
• Ability to design performance‑optimized pipelines; batch or near real-time
• Experience building datasets consumed by Power BI/Tableau
• Understanding of CDP workflows, customer identity data, traits/feature modeling, and activation
• Strong communication skills, translating marketing needs into technical data solutions
• Power BI expertise, major plus
• Experience with Delta Lake, orchestration, or feature engineering for ML
• Background as an Analytics Engineer, BI/Data Modeling Engineer, or Data Engineer with strong analytics orientation

Benefits:

• Medical, Dental, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP)
• 401K offered

The approximate pay range for this position starting at $140,000. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at

"Candidates must be authorized to work in the United States without the need for current or future visa sponsorship."

Summary of Position (Job Purpose)

This is an exciting opportunity to join the Data & Analytics Delivery Organization at Family Dollar. As the company undergoes major transformation, insights derived from data will play a critical role.

We are seeking an experienced Data Engineering Manager with deep technical expertise and the ability to be hands‑on. This leader will help transform how Family Dollar leverages internal & external data and ensure structured & unstructured data can be securely and efficiently utilized across the organization. You will collaborate closely with business users, data product owners, platform teams, enterprise architecture, data management, and business intelligence team to build high‑performing, scalable, and maintainable data capabilities using current and emerging cloud technologies.

This role is responsible for the design and execution of data engineering initiatives in partnership with the Director of Data Analytics & Reporting. The candidate must be highly collaborative, organized, and effective at communication and problem‑solving. Leadership experience managing individual contributors, contractors, and vendors is essential

Principal Duties and Responsibilities

• Build, lead, and manage the Data Engineering team, driving rapid delivery of data solutions that enhance analytics and insights capabilities.
• Manage 3–5 individual contributors as well as contract and vendor resources.
• Collaborate closely with stakeholders across product, architecture, development, business intelligence, and executive teams.
• Make recommendations for enterprise‑wide data, data onboarding, and self‑service analytics roadmap and architecture.
• Design data pipelines and data models optimized for BigQuery performance, cost control, and reliability
• Provide technical direction and solution guidance to ensure projects enable effective data availability and meet business requirements.
• Serve as an escalation point for issues or roadblocks impacting delivery timelines.
• Stay current on emerging trends and technologies in Data Warehousing and Analytics—particularly within retail.
• Deliver solutions in a fast‑paced, dynamic, and agile environment.
• Initiate proof‑of‑concepts (POCs) and prototypes to validate recommendations and test new approaches.
• Act as the subject‑matter expert on data acquisition, ingestion, and information delivery.
• Lead the creation of standards for data quality, lineage, governance, observability, and CI/CD processes across the data engineering organization
• Collaborate with data product owners to define, prioritize, and execute the data engineering roadmap aligned with business objectives
• Coach and mentor engineers, fostering a culture of technical excellence and continuous improvement

Minimum Requirements/Qualifications

• Bachelor’s degree or higher.
• 5+ years of experience working with large‑scale, enterprise data sets.
• 2+ years managing full‑time employees, contract partners, or vendor resources.
• Strong curiosity and a passion for identifying new ways to leverage data to creates business value.
• Proven experience delivering end‑to‑end data solutions, with emphasis on enabling self‑service analytics across diverse user groups.
• Experience working with end users to gather requirements and translate them into technical solutions from concept through implementation.
• Self‑starter capable of independently delivering outcomes with minimal oversight.
• Hands‑on experience working with structured and unstructured data and modern data technologies—including GCP, BigQuery, Dataflow, Python, etc.
• Experience delivering data as a product as plus
• Retail, supply chain, or e‑commerce experience is a plus but not required.

Family Dollar is an equal opportunity employer and committed to recruiting, hiring, training, and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We are committed to complying with the Americans with Disabilities Act (ADA) and providing reasonable accommodations to qualified individuals with disabilities.

• 
  
• Architecture & Implementation
  
• Define target?state architecture for Microsoft Purview across Azure, AWS, M365, on prem, and third party platforms.
  
• Develop and drive the implementation roadmap across U.S. Businesses, PGIM, Corporate Technology, and international units.
  
• Establish Purview reference architecture, integration patterns, and guardrails.
  
• Domain Based Governance
  
• Design collections, hierarchies, and RBAC aligned to domain structures and legal entity boundaries.
  
• Enable domain owned stewardship while enforcing enterprise taxonomies and governance standards.
  
• Platform Configuration
  
• Configure Data Map, Catalog, Scans, Classifications, Sensitivity Labels, and Lineage.
  
• Optimize scan strategy (frequency, cost, performance) and extend classifiers and metadata models.
  
• Security & Compliance
  
• Integrate Purview with M365 Information Protection, Entra ID, and security baselines.
  
• Support PII/PCI/PHI detection, access governance, and regulatory compliance (SOX, GLBA, NYDFS, GDPR).
  
• Engineering & Integration
  
• Integrate with Synapse, Fabric, Databricks (including Unity Catalog), Snowflake, SQL Server, AWS sources, and SAP/Oracle.
  
• Implement IaC (Bicep/Terraform), CI/CD for Purview artifacts, and automation via APIs.
  
• Adoption & Stakeholder Management
  
• Deliver training, onboarding playbooks, and steward enablement.
  
• Lead workshops for new data domains and products.
  
• Provide executive level reporting on progress, risks, and KPIs.
  

• 
  
• 10+ years in data architecture/governance; 2+ years hands on Purview experience at enterprise scale.
  
• Strong expertise in metadata management, lineage, classification, scan optimization, glossary management and domain based operating models.
  
• Solid Azure ecosystem knowledge (Storage, Key Vault, Synapse, Fabric, Databricks), M365 Information Protection, and Entra ID.
  
• Experience with IaC (Bicep/Terraform), APIs/Atlas, and scripting (PowerShell/Python).
  
• Financial services or regulated industry exposure.
  
• Excellent communication, stakeholder leadership, and cross domain facilitation skills.
  

• 
  
• Facilitate workshops, demos, onboarding sessions, and cross?domain engagements to drive Marketplace adoption.
  
• Serve as the primary technical presenter of the Marketplace for domain teams and stakeholders.
  
• Engage with domain owners to understand their data products, help refine their articulation, and showcase how they integrate into the Marketplace ecosystem.
  
• Configure and maintain demo environments for Marketplace capabilities, data products, and new features.
  
• Support light development, proof?of?concept configurations, and sample integrations to demonstrate platform capabilities.
  
• Translate technical Marketplace concepts into clear, business?friendly language for non?technical audiences.
  
• Collect structured feedback from domain teams, synthesize insights, and partner with product and engineering to influence the roadmap.
  
• Develop and refine training materials, demos, playbooks, and onboarding assets to support continuous adoption.
  
• Act as an advocate for domains, ensuring their data product needs and challenges are well represented in Marketplace planning.
  
• Support ongoing adoption initiatives, including community sessions, office hours, and cross?domain knowledge sharing.
  

• 
  
• 4-7+ years of experience in data engineering, platform engineering, solution engineering, technical consulting, or similar roles.
  
• Strong understanding of data products, data modeling concepts, data APIs, enterprise integrations and metadata?driven architectures.
  
• Ability to configure and demonstrate platform features, build light proofs?of?concept, and support technical onboarding.
  
• Excellent communication and presentation skills, with experience translating technical concepts for business partners.
  
• Experience facilitating workshops, leading demos, or driving customer/product adoption initiatives.
  
• Ability to engage domain teams, understand their data product needs, and help articulate value within a larger ecosystem.
  
• Strong collaboration and stakeholder management skills across engineering, product, and business teams.
  
• Comfortable working in fast?moving environments and driving clarity through ambiguity.
  

• 
  
• Experience with data product and governance frameworks, data marketplaces, data mesh concepts, or platform adoption roles.
  
• Hands?on experience with cloud data platforms (Azure, AWS, or GCP), data pipelines, or integration tooling.
  
• Familiarity with REST/GraphQL APIs, event-driven patterns, and data ingestion workflows.
  
• Background in solution architecture, customer engineering, or sales engineering.
  
• Experience developing demo environments, sample apps, or repeatable platform enablement assets.
  
• Strong storytelling ability when explaining data product value, domain capabilities, and Marketplace patterns.
  

We are partnering with a rapidly growing healthcare services organization that is investing in modernizing and scaling its data ecosystem.

This is a high-impact, high-visibility role for a senior-level data engineer who wants to architect, build, and own the data foundation of a growing national organization.

What You’ll Do

• Design and implement a centralized data warehouse
• Build and optimize ETL/ELT pipelines integrating multiple APIs
• Transition batch processes toward near real-time data
• Establish data governance and quality standards
• Lead BI tooling evaluation and reporting infrastructure
• Serve as the technical data authority across finance, marketing, and operations

Current Technical Environment

• AWS (Aurora PostgreSQL, Lambda, S3)
• Python for API ingestion
• Early-stage Snowflake
• Legacy batch file ingestion

What We’re Looking For

• 5+ years in data engineering
• Proven experience building or re-architecting a data warehouse
• Strong AWS experience
• Advanced SQL + Python
• Data modeling expertise
• Experience supporting BI/reporting layers
• Comfortable operating independently in a growing organization

Why This Role

• Greenfield influence
• Executive visibility
• Strategic ownership
• Remote flexibility

Be part of an amazing story

Macy’s is more than just a store. We’re a story. One that’s captured the hearts and minds of America for more than 160 years. A story about innovations and traditions…about inspiring stores and irresistible products…about the excitement of the Macy’s 4th of July Fireworks, and the wonder of the Thanksgiving Day Parade. We’ve been part of memorable moments and milestones for countless customers and colleagues. Those stories are part of what makes this such a special place to work.

Job Overview

The Data Steward plays a direct role in making Macy’s data usable, trusted, and decision-ready. This role owns the quality and clarity of data definitions in the enterprise catalog, ensuring teams can quickly find, understand, and confidently use data to drive business outcomes. Partnering closely with analytics, product, and engineering teams, the Data Steward helps turn complex data into a reliable asset that powers everyday decisions across the company.

What You Will Do

• Maintain and enhance the Enterprise Data Catalog, including domains, assets, attributes, KPIs, definitions, and relationships.
• Collaborate with business and technical stakeholders to define and enforce metadata standards, naming conventions, and certification workflows.
• Validate technical metadata and lineage ingested from multiple sources.
• Monitor catalog usage and provide training and support to end users.
• Partner with data owners and stewards to ensure proper data ownership and stewardship assignments.
• Develop and maintain SOPs, training materials, and documentation.
• Perform data profiling and quality checks to ensure metadata accuracy and completeness.
• Define data quality checks with business stakeholders and validate implementation results.
• Support the Data Governance Architect and other governance team members as needed.
• Serve as subject matter expert for assigned data domains.

Skills You Will Need

• Data Stewardship: Applies governance principles to maintain accurate and complete metadata across enterprise systems.
• Collibra Expertise: Utilizes Collibra tools to manage data catalog assets and workflows effectively.
• Metadata Management: Ensures consistency and compliance with established standards for metadata and lineage.
• Data Quality Analysis: Conducts profiling and validation to maintain trusted data assets.
• Communication: Builds strong relationships with stakeholders and conveys technical concepts clearly.
• Regulatory Knowledge: Understands data privacy regulations such as GDPR and CCPA.

Who You Are

• 2 to 3 years of experience in data stewardship, governance, and metadata management.
• Skilled in Collibra with certification preferred.
• Possesses a curious mindset to build a foundational understanding of the retail business sector.
• Possesses high levels of ownership, innovation, and simplification with a strong bias for action.
• Knowledgeable about data privacy regulations and data classification practices.
• Regularly required to sit, talk, hear; use hands/fingers to touch, handle, and feel. Occasionally required to move about the workplace and reach with hands and arms. Requires close vision.
• Able to work a flexible schedule based on department and company needs.

What We Can Offer You

Join a team where work is as rewarding as it is fun! We offer a dynamic, inclusive environment with competitive pay and benefits. Enjoy comprehensive health and wellness coverage and a 401(k) match to invest in your future. Prioritize your well-being with paid time off and eight paid holidays. Grow your career with continuous learning and leadership development. Plus, build community by joining one of our Colleague Resource Groups and make a difference through our volunteer opportunities.

Some additional benefits we offer include:

• Merchandise discounts
• Performance-based incentives
• Annual merit review
• Employee Assistance Program with mental health counseling and legal/financial advice
• Tuition reimbursement

Access the full menu of benefits offerings here.

Our client, a leading organization in the real estate investment and property management sector, is seeking a Data Analyst to join their IT team. This role will focus on building and maintaining data solutions, developing dashboards, and delivering actionable insights to support business decision-making across the organization.

Responsibilities

• Build and maintain data warehouses and reporting solutions
• Develop dashboards and ad hoc reports using Power BI
• Write and optimize SQL queries for data extraction and analysis
• Partner with stakeholders to gather and translate reporting requirements
• Troubleshoot and resolve data and reporting issues
• Support internal users with reporting tools and best practices
• Contribute to data governance and process improvements
• Stay current with Microsoft Fabric, Azure, and related technologies

Qualifications

• Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field
• 3+ years of experience in data analysis and visualization
• Strong experience with Power BI
• Advanced SQL skills
• Experience with SQL Server, SSRS, SSIS, Excel, Power Query, and Power Pivot
• Experience with Microsoft Fabric preferred
• Familiarity with Azure environments preferred
• Experience with Azure DevOps Git is a plus
• Strong analytical, problem-solving, and communication skills

Our client is seeking a Data Engineer for a 6-month contract in Irving, TX. Will be working on an onsite schedule.

***Only W2 candidates accepted***

Job Title: Data Engineer

Contract Duration: 6 Months

Required Skills & Experience

• 4+ years of hands-on experience in data engineering, including data lake infrastructure, data warehousing, and data analytics tools.
• Cloud data engineering experience on Azure. Deep understanding of Azure services like Data Factory, Databricks, and Machine Learning. Azure certification is a plus.
• Strong proficiency in SQL, Python and PySpark. Proven ability to optimize SQL queries and performance tune data pipelines.
• Experience in building and operating highly available, distributed data pipelines for large-scale data ingestion, processing, and extraction.
• Experience integrating multi-cloud services with on-premises technologies. Strong understanding of data modeling processes.
• Proven ability to solve complex data problems, collaborate effectively with cross-functional teams, and deliver high-quality solutions.

Desired Skills & Experience

• Agile experience
• Dataiku
• Power BI

What You Will Be Doing

• Lead the design, architecture, and implementation of ad-hoc data initiatives and platform capabilities while ensuring alignment with business needs and scalability requirements.
• Enhance existing data workflows and systems to improve performance, cost-efficiency, to implement innovative solutions.
• Lead cross-functional projects, collaborating with product managers, analysts, solutions architects, and other stakeholders to define requirements, prioritize tasks, and deliver high-quality solutions.
• Communicate effectively with non-technical stakeholders to understand business needs, translate them into technical specifications, and present technical concepts in a clear and concise manner

LHH Recruitment Solutions has partnered with a growing organization, and they are seeking a motivated Manufacturing Data & Sales Analyst to join their team. Seeking a data-driven analytics professional who thrives at the intersection of manufacturing operations, business intelligence, and executive decision support. This is a high-impact role for someone who enjoys building insight from the ground up—designing dashboards, automating reporting, owning data integrity, and translating complex information into clear, actionable business outcomes.

Why This Role Stands Out:

• High visibility and direct partnership with senior leadership.
• Opportunity to own and evolve enterprise-level analytics and reporting.
• Manufacturing environment where data truly drives strategy.
• Long-term growth potential in a stable, well-capitalized organization.

Key Responsibilities:

Data, Analytics & Reporting:

• Design, build, and continuously enhance dashboards, scorecards, and KPI reporting to support operational and commercial performance.
• Translate raw data into meaningful insights that influence decision-making at the executive level.
• Automate recurring reports and analytics processes to improve efficiency, accuracy, and scalability.
• Analyze trends related to revenue, production performance, forecasting, and product initiatives.

Manufacturing & Cross-Functional Partnership:

• Collaborate closely with Operations, Finance, IT, and Commercial teams to align data, metrics, and performance goals.
• Support forecasting, planning cycles, and performance reviews with reliable, actionable analytics.
• Identify risks, opportunities, and performance gaps within data sets and recommend solutions.

Systems & Data Ownership:

• Act as the primary owner of manufacturing and sales-related data systems, ensuring usability, accuracy, and value.
• Lead continuous improvement of reporting tools and system integrations.
• Partner with internal and external stakeholders to enhance system reporting capabilities.
• Champion data governance, consistency, and best practices across the organization.

Qualifications and Skills:

• Bachelor’s Degree in Data Science, Analytics, Business Intelligence, or a related field
• Proven experience building and maintaining dashboards, scorecards, and analytics tools.
• Background supporting a manufacturing environment.
• Strong ability to own data end-to-end—from extraction to interpretation to executive presentation.
• Experience automating reporting and analytics processes.
• Advanced analytical, problem-solving, and critical-thinking skills.
• Ability to clearly communicate insights to both technical and non-technical audiences.
• Advanced proficiency with Excel, reporting platforms, and Microsoft Office Suite.
• Advanced proficiency in SQL, PowerBI, and/or Tableau.
• Experience with IQMS is preferred.
• Strategic mindset with exceptional attention to detail.

Compensation Range: $90,000 - $120,000 + 15% Bonus

Benefits Offered: 2 weeks of vacation, paid sick leave where applicable by state law, Medical Insurance, Dental Insurance Vision Insurance, 401K, and Life Insurance.

If you are a passionate Manufacturing Data & Sales Analystlooking for anew and rewarding career, please apply today! You don’t want to miss out on this opportunity!

LHH is a leader in permanent recruitment—and in the placement of top talent. Our areas of specialty include office administration, customer service, human resources, engineering, and supply chain and logistics. Please feel to check us out and apply for other opportunities if this role isn’t a perfect match.

Equal Opportunity Employer/Veterans/Disabled

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit

Tempe, AZ (Onsite 4 days a week)

A client in the infrastructure and construction space, is hiring their first Senior Data Scientist to build and lead a new predictive analytics function. They currently have strong Data Engineering and BI teams in place, but no formal predictive analytics capability. This role will establish that function from the ground up.

Why This Role Is Unique

• Founding Data Scientist role
• High executive visibility
• Opportunity to shape tooling, standards, and roadmap
• Clear path to building and leading a team based on impact

What You’ll Do

• Productionalize existing predictive models and advance new analytics initiatives
• Partner with business leaders to identify and prioritize high-value predictive use cases
• Design, build, and deploy machine learning solutions that drive measurable business outcomes
• Own the end-to-end ML lifecycle: data exploration to feature engineering to modeling to deployment to monitoring
• Establish MLOps best practices, including deployment pipelines, model monitoring, and lifecycle management
• Collaborate cross-functionally with data engineering, BI, and AI teams
• Help define and evangelize predictive analytics capabilities across the organization
• This role requires someone comfortable operating independently, engaging directly with business stakeholders, and turning ambiguous problems into production-ready solutions.

Technical Environment

• Azure cloud ecosystem
• Databricks (primary data platform; Spark-based processing)
• Azure Data Factory, Azure DevOps (CI/CD)
• Power BI / Microsoft Fabric
• Python & SQL required
• Experience with MLOps, model monitoring, and deployment pipelines

Ideal Background

• Experience in Data Science / Applied Machine Learning
• Strong Databricks or similar distributed compute experience
• Experience productionalizing ML models in enterprise environments
• Comfortable working cross-functionally and influencing stakeholders
• Startup mentality — builder mindset

IBM Consulting is seeking an accomplished Data & Analytics Associate Partner to accelerate our growth within the Industrial & Communications sectors. This executive role is responsible for shaping client vision, cultivating senior executive relationships, and developing data-driven solutions that enable clients to successfully navigate complex transformation programs.

You will bring together deep industry expertise and IBM’s portfolio of data, analytics, and AI capabilities to help organizations modernize their data ecosystems—migrating from legacy platforms to modern hybrid cloud architectures—while adopting next-generation analytics, GenAI, and agentic AI to strengthen decision-making and deliver measurable business and financial outcomes.

This role is ideal for a seasoned leader who integrates industry depth, consulting excellence, and technical thought leadership, has a strong understanding of competitive market dynamics, and consistently delivers high-impact transformation at scale.

• 
  

• Expand IBM’s Data & Analytics presence by identifying new market opportunities, developing differentiated solutions, and building a strong pipeline.

  
  

• Engage senior client executives to understand strategic priorities and shape data transformation roadmaps aligned to their business and financial goals.

  
  

• Lead end-to-end sales cycles, including solution definition, proposal leadership, financial structuring, and contract negotiation.

  
  

• 
  

• Advise C-suite leaders on strategies to their data estate modernization, advanced analytics, GenAI, and agentic AI to drive business performance.

  
  

• Architect integrated solutions that include:

  
  

• Migration from legacy data platforms to modern cloud-based architectures

  
  

• Data engineering and Information governance

  
  

• Business intelligence and advanced analytics

  
  

• GenAI-powered and agentic AI-driven automation and decisioning

  
  

• Lead complex transformation programs from discovery through delivery, ensuring measurable outcomes and client satisfaction.

  
  

• 
  

• Oversee multi-disciplinary delivery teams to ensure high-quality, consistent execution across all program phases.

  
  

• Manage engagement financials, including forecasting, margin performance, and overall portfolio profitability.

  
  

• Align right client technologies, industry expertise, and global delivery capabilities to maximize client value.

  
  

• 
  

• Recruit, mentor, and grow top-tier consultants, architects, and data specialists.

  
  

• Build and scale capabilities in data modernization, cloud data engineering, analytics, GenAI, and emerging agentic AI techniques.

  
  

• Contribute to practice strategy, offering development, and capability growth across the global Data & Analytics team.

  
  

• 
  

• Stay ahead of sector and technology trends, including cloud modernization, GenAI, agentic system design, regulatory changes, and evolving competitive dynamics.

  
  

• Represent IBM at industry conferences, client events, webinars, and executive roundtables.

  
  

• Create original thought leadership—articles, perspectives, point-of-views—that positions IBM as a leading advisor in data and AI-driven transformation.

  
  

This position can be preformed anywhere in the US.

"Leaders are expected to spend time with their teams and clients and therefore are generally expected to be in the workplace a minimum of three days a week, subject to business needs."

• 
  

• 12+ years of experience in consulting, data strategy, analytics, or digital transformation, with strong exposure to the Industrial or Communications sectors.

  
  

• Hands-on experience modernizing data ecosystems, including migrating from legacy on-premise platforms to modern cloud-native or hybrid cloud architectures.

  
  

• Deep expertise with major cloud platforms and their data/analytics stacks, including implementation experience with:

  
  

• AWS (e.g., Redshift, S3, Glue, EMR, Athena, Lake Formation, Bedrock, SageMaker)

  
  

• Microsoft Azure (e.g., Azure Data Lake, Synapse, Data Factory, Databricks on Azure, Fabric, Cognitive Services)

  
  

• Google Cloud Platform (e.g., BigQuery, Cloud Storage, Dataflow, Dataproc, Vertex AI)

  
  

• Experience designing and implementing end-to-end data pipelines, governance frameworks, and analytics solutions on one or more of these platforms.

  
  

• Strong understanding of GenAI architectures, LLM integration patterns, vector databases, retrieval-augmented generation (RAG), and emerging agentic AI frameworks.

  
  

• Proven track record of selling, structuring, and delivering large-scale data and AI transformation programs.

  
  

• Robust technical and functional expertise in data engineering, cloud data platforms, analytics, AI/ML, information management, and governance.

  
  

• Executive-level communication and presence, with demonstrated ability to influence senior stakeholders and convey complex topics through compelling narratives.

  
  

• Financial management experience, including engagement economics, forecasting, margin optimization, and portfolio profitability.

  
  

• Demonstrated leadership in building, scaling, and developing high-performing consulting and technical teams.

  
  

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Job Title: Senior Manager, Data Architecture (Ref: 195759)

Location: Charlotte, North Carolina – In-Office (5 Days Per Week)

Salary: Up to $175,000 + Bonus

Contact:

We’re looking for an experienced and forward-thinking Senior Manager, Data Architecture to define and lead the enterprise data architecture strategy within a large-scale, data-driven organization. This is a high-impact leadership role where you’ll shape the long-term data roadmap, modernize architecture standards, and guide the evolution of a cloud-based data platform.

In this role, you’ll lead a team of data architects and modelers while partnering closely with Data Engineering, Analytics, BI, Platform, and business stakeholders. You’ll ensure scalable, secure, and high-performing data solutions that enable advanced analytics, operational reporting, and strategic decision-making across the enterprise.

What You’ll Do

• Define and maintain the enterprise data architecture vision aligned to business and technology strategy
• Lead, mentor, and grow a team of data architects and modelers, establishing best practices and standards
• Design and govern scalable data platforms leveraging Azure, Snowflake, and Databricks
• Establish enterprise standards for data modeling (Dimensional, 3NF, Data Vault), integration, and storage
• Define architecture patterns for ingestion, transformation, and cross-domain data integration
• Drive architectural consistency across analytics, BI, and operational data products
• Partner with Data Governance teams to enforce data quality, lineage, metadata, and compliance standards
• Ensure solutions meet security, privacy, and regulatory requirements
• Collaborate with Engineering and Platform teams on cloud architecture and long-term technical roadmap
• Communicate complex architectural designs clearly to both technical and executive stakeholders

What You’ll Bring

• 7+ years of experience in data architecture or advanced data engineering roles
• 5+ years in a dedicated Data Architect or equivalent leadership capacity
• Deep experience designing enterprise-scale data platforms in cloud environments
• Strong expertise in Microsoft Azure data services
• Expert-level knowledge of Snowflake and Databricks
• Extensive experience with enterprise data modeling methodologies (Dimensional, 3NF, Data Vault)
• Experience with data modeling tools such as Erwin (preferred)
• Proven experience leading or mentoring architects or senior technical professionals
• Strong understanding of governance, security, and regulatory considerations in enterprise data environments
• Exceptional communication skills with the ability to influence senior stakeholders

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience)
• 10+ years of progressive experience in data architecture, engineering, or enterprise data platform design

About the Company

Medicaid is committed to providing quality healthcare services to its members while ensuring the efficient use of resources. Our mission is to improve the health and well-being of the communities we serve through innovative solutions and a culture of collaboration.

About the Role

The Data Scientist will play a crucial role in analyzing Medicaid data to provide insights and support decision-making processes. This position requires a blend of technical expertise and collaboration with various teams to enhance reporting and analytics capabilities.

Responsibilities

• Provide technical expertise to further the development of reports as well as evaluate and recommend tools for data reporting and analysis.
• Assist in the development of scalable, organization-wide dashboards and reporting.
• Utilize DOM claim and clinical data to perform advanced analysis to identify patterns, trends and insights using advanced analytical tools and methods.
• Collaborate with DOM technical and non-technical teams to develop and document production of reports generated for Centres for Medicare & Medicaid Services and other external entities.
• Identify possible gaps and recommend solutions for existing data and reporting/analytics solutions.
• Review reporting produced by external entities to ensure that methods and presentation are sound, accurate, and consistent with DOM expectations.
• Support data literacy initiatives to educate DOM users on the availability of and potential use cases for DOM data.
• Participate and contribute data and analytics expertise in agency projects as needed.
• Identify and assist with the evaluation of project opportunities, risks, and impact to other areas.
• Perform other duties as assigned.

Qualifications

Education details: A degree in Data Science, Statistics, Computer Science, or a related field is preferred.

Required Skills

• Proficiency in data analysis and statistical tools.
• Experience with data visualization tools.
• Strong problem-solving skills and attention to detail.

Preferred Skills

• Familiarity with Medicaid data and reporting requirements.
• Experience in a healthcare setting.

Pay range and compensation package

Salary is competitive and commensurate with experience.

Equal Opportunity Statement

Medicaid is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job Title – Lead Data Engineer

Please note this role is not able to offer visa transfer or sponsorship now or in the future

About the role

As a Lead Data Engineer, you will make an impact by designing, building, and operating scalable, cloud‑native data platforms supporting batch and streaming use cases, with strong focus on governance, performance, and reliability. You will be a valued member of the Data Engineering team and work collaboratively with cross‑functional engineering, cloud, and architecture stakeholders.

In this role, you will:

• Design, build, and operate scalable cloud‑native data platforms supporting batch and streaming workloads with strong governance, performance, and reliability.
• Develop and operate data systems on AWS, Azure, and GCP, designing cloud‑native, scalable, and cost‑efficient data solutions.
• Build modern data architectures including data lakes, data lakehouses, and data hubs, with strong understanding of ingestion patterns, data governance, data modeling, observability, and platform best practices.
• Develop data ingestion and collection pipelines using Kafka and AWS Glue; work with modern storage formats such as Apache Iceberg and Parquet.
• Design and develop real‑time streaming pipelines using Kafka, Flink, or similar streaming frameworks, with understanding of event‑driven architectures and low‑latency data processing.
• Perform data transformation and modeling using SQL‑based frameworks and orchestration tools such as dbt, AWS Glue, and Airflow, including Slowly Changing Dimensions (SCD) and schema evolution.
• Use Apache Spark extensively for large‑scale data transformations across batch and streaming workloads.

Work model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 4 days a week in a client or Cognizant office in Atlanta, GA. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you need to have to be considered

• Hands‑on experience developing and operating data systems on AWS, Azure, and GCP.
• Proven ability to design cloud‑native, scalable, and cost‑efficient data solutions.
• Experience building data lakes, data lakehouses, and data hubs with strong understanding of ingestion patterns, governance, modeling, observability, and platform best practices.
• Expertise in data ingestion and collection using Kafka and AWS Glue, with experience in Apache Iceberg and Parquet.
• Strong experience designing and developing real‑time streaming pipelines using Kafka, Flink, or similar streaming frameworks.
• Deep expertise in data transformation and modeling using SQL‑based frameworks and orchestration tools including dbt, AWS Glue, and Airflow, with knowledge of SCD and schema evolution.
• Extensive experience using Apache Spark for large‑scale batch and streaming data transformations.

These will help you stand out

• Experience with event‑driven architectures and low‑latency data processing.
• Strong understanding of schema evolution, SCD modeling, and modern data modeling concepts.
• Experience with Apache Iceberg, Parquet, and modern ingestion/storage patterns.
• Strong knowledge of observability, governance, and platform best practices.
• Ability to partner effectively with cloud, architecture, and engineering teams.

Salary and Other Compensation:

Applications will be accepted until March 17, 2025.

The annual salary for this position is between $81,000 - $135,000, depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long‑term/Short‑term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Team & Mission

The Privacy & Conversion Data team is responsible for how the company safely and compliantly uses conversion data to power monetization. We build and operate the core privacy infrastructure behind ads reporting and optimization, including controlled data environments, finegrained access controls, centralized privacy rules enforcement, and deidentification pipelines for conversion data. Our mission is to make conversion data privacypreserving by default-centralized, deidentified, auditable, and easy for teams to use, while maintaining high utility for advertisers and staying ahead of an evolving global regulatory landscape.

Role Summary

We're seeking a Staff Engineer to lead the architecture and technical direction for the conversion data privacy platform, spanning both core Conversion Data systems and deidentification for ads reporting. You'll own the endtoend design and evolution of privacycritical pipelines and services, partner closely with Product, Data Science, Legal, and infrastructure teams, and set the technical bar for how we use conversion data safely at scale.

What you'll do:

• 
  
• Lead the technical strategy and architecture for conversion data privacy across access controls, deidentification, deletion, and privacy rules enforcement, driving toward a centralized, deidentifiedbydefault, automated privacy platform for monetization.
  
• Design and evolve core privacy infrastructure including controlled environments for sensitive data, finegrained authorization and policy enforcement, and a central policy repository that consistently governs access across major data platforms and query engines.
  
• Own deidentification pipelines for ads reporting endtoend-from separating sensitive and nonsensitive data, applying deidentification techniques and transformations, and generating privacypreserving datasets, to validating data utility and feeding reporting and analytics surfaces.
  
• Build and improve privacy frameworks and tooling (for both online and offline workflows) that make safe, compliant conversion data usage simple and selfservice for downstream teams, reducing onboarding friction for new datasets, restrictions, and use cases.
  
• Drive operational excellence and compliance by defining SLAs, building robust monitoring and alerting (e.g., deidentification quality, optout metrics, data leakages), leading incident response, and developing performant deletion and leakagehandling workflows that meet regulatory and audit requirements.
  
• Partner crossfunctionally with ads, data, product, legal, and infrastructure stakeholders to translate legal/privacy requirements into technical designs, make clear tradeoffs between privacy and utility, and drive alignment on roadmaps, launches, and policy changes that impact advertisers and users.
  
• Mentor and uplevel engineers across multiple teams, lead critical design and code reviews in privacysensitive areas, and establish best practices and documentation for privacybydesign, deidentification, and largescale data systems.
  

What we're looking for:

• 
  
• BS+ in Computer Science (or related field) or equivalent practical experience.
  
• 8+ years of professional software engineering experience, with a focus on largescale data systems or distributed systems.
  
• Strong proficiency building and operating data pipelines and services using Java/Scala/Kotlin or Python, plus SQL; experience with modern big data ecosystems is a plus.
  
• Experience designing secure, reliable systems and APIs, with solid grounding in data modeling, access control, and performance optimization.
  
• Meaningful experience in at least one of: privacypreserving data systems (e.g., deidentification, kanonymity), ads measurement/attribution, or largescale analytics/experimentation platforms.
  
• Proven ability to drive crossteam technical initiatives from design through rollout, working closely with product, data science, and nonengineering partners (e.g., Legal, Compliance).
  
• Strong communication and leadership skills, with a track record of mentoring engineers, raising engineering standards, and making sound decisions in ambiguous, highimpact problem spaces.
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-REMOTE

#LI-KK6

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion: