Array Definition In Data Structure Jobs in Usa

Doctor of Medicine | Psychiatry - General/Other

Location: Indianapolis, IN

Employer:

Pay: Competitive weekly pay (inquire for details)

Start Date: ASAP

LocumJobsOnline is working with to find a qualified Psychiatry MD in Indianapolis, Indiana, 46201!

This Job at a Glance

• Job Reference Id:  ORD-210224-MD-IN
• Title:  MD
• Dates Needed:  April 3rd - July 3rd
• Shift Type:  Day Shift
• Assignment Type:  Inpatient
• Call Required:  No
• Board Certification Required:  No
• Job Duration:  Locums

This inpatient psychiatric hospital specializes in advanced diagnosis and stabilization of complex mental health cases. The facility provides comprehensive psychiatric services with dedicated resources for intensive treatment of patients requiring specialized inpatient care. The hospital maintains modern documentation systems and interdisciplinary treatment teams to ensure effective delivery of psychiatric services in a structured inpatient environment.

Indianapolis features notable attractions including the Indianapolis Motor Speedway Museum and the Children's Museum, along with various specialty museums and walking tour opportunities. The region offers diverse entertainment venues such as the Ruoff Music Center, Everwise Amphitheatre, Clowes Memorial Hall, and Old National Centre, providing options for arts, live music, sports, and shopping experiences. Downtown presents dining and beverage establishments alongside cultural and recreational activities suitable for various interests.

The psychiatrist will direct psychiatric services in accordance with institutional policies, utilizing advanced clinical training and professional judgment to guide diagnostic evaluations, treatment plans, and patient care decisions. This position serves as the final authority on psychiatric evaluations while overseeing program planning and reviewing clinical recommendations. The clinician will work part-time for 24 hours per week during day shifts, conducting weekly rounds on a 24-bed inpatient unit and managing complex mental health cases requiring advanced diagnosis and stabilization. Responsibilities include contributing to departmental strategy and agency-wide policy through research and program evaluation while maintaining comprehensive documentation of patient progress and treatment interventions.

• Case Load/PPD:  24 beds / rounding 1x a week
• Support Staff:  Nursing staff, medical assistants, and administrative support
• Patient Population:  Adults
• Location Type:  On-Site
• Government:  No
• Shift Hours:  Part time (24 hours)
• Cases Treated:  Complex mental health cases requiring advanced diagnosis and stabilization
• Average Length of Stay:  Variable based on patient complexity and treatment needs
• Census:  24 beds / rounding 1x a week
• Med Checks/Follow-up per day:  Variable b
  
  Contact:

About

The need has never been greater to connect great clinicians and great healthcare facilities. That’s what we do. Every day. We’re . We connect clients and clinicians to take care of patients. How do we do it? By doing it better than everyone else. Whether you’re looking for a locum tenens job or locum tenens coverage, our experienced agents have the specialized knowledge, know-how, and personal relationships to take care of you and your search.  

provides comprehensive onboarding and optional 1099 financial consulting from a partner advisor.

We cover your malpractice insurance (A++) and provide assistance with credentialing, privileging, licensing, housing and travel.

Our agents have the specialized knowledge and personal connections to provide the best locum tenens experience and negotiate top pay on your behalf.

1714077EXPPLAT

DEPLOY has been retained to find a Reporting & Data Architect Lead combines advanced reporting development with enterprise-level data governance and architectural leadership. In this role, you will own our client's enterprise reporting platform—designing robust Power BI solutions, managing shared data models, and ensuring the reporting environment remains secure, scalable, and high-performing.

You will also own our client's enterprise reporting standards and governance framework, ensuring reporting across all departments is consistent, trusted, and aligned with best practices. This includes defining reporting conventions, reviewing changes, onboarding departmental report creators, and stewarding enterprise reporting assets such as certified datasets and endorsed reports.

At the enterprise level, you will architect our client's data framework—defining how data is structured, named, documented, and shared across ERP, operational, manufacturing, and corporate systems. You will own the enterprise data dictionary, the centralized semantic model, and key architectural decisions around Microsoft Fabric and other data tooling. This role interacts frequently with executives to align data strategy with organizational growth and reporting needs.

Key Responsibilities

Enterprise Reporting (Hands-On Development)

• Build, optimize, and maintain enterprise-grade Power BI reports, dashboards, datasets, and data models.
• Develop and govern shared semantic models and reusable datasets that power enterprise-wide reporting.
• Use Microsoft Fabric, Dataverse, and related ETL/data management tools to shape and integrate reporting data sources.
• Manage dataset refresh schedules, performance tuning, workspace organization, gateway configuration, and reporting system reliability.
• Implement row-level security (RLS), workspace access patterns, and enterprise reporting permissions—Responsible, with the Director of Technology Accountable.
• Manage reporting governance artifacts including certified datasets, endorsed reports, and enterprise workspace standards.
• Support reporting scalability as our client grows (new factories, new business units, new product lines).

Enterprise Reporting Standards & Governance

• Own our client's enterprise reporting standards framework, covering naming conventions, modeling patterns, documentation practices, lifecycle management, visual design standards, and change control.
• Govern reporting development and deployment across the organization to ensure consistency and prevent duplicate or conflicting models.
• Review and approve reporting change requests, data model modifications, and access requests.
• Lead documentation and enablement for departmental report creators through training, guidance, and structured onboarding.
• Provide strategic direction around reporting maturity, sustainability, and enterprise alignment.

Enterprise Data Architecture

• Design and maintain our client's enterprise data architecture framework across ERP, operational, manufacturing, and corporate systems.
• Own the enterprise data dictionary, defining canonical field names, table structures, business definitions, and version control practices.
• Build and govern the centralized semantic model that powers reporting across the company.
• Advise and strongly influence enterprise-level decisions around Microsoft Fabric, data modeling strategy, and long-term architectural direction—and own the work that follows those decisions.
• Collaborate with engineering and system owners to coordinate schema changes, data integrations, and cross-system alignment.

Leadership & Collaboration

• Partner with C-suite and senior leaders to define reporting roadmaps, enterprise priorities, and data strategy.
• Communicate complex architectural concepts in clear, business-friendly terms.
• Lead cross-functional initiatives that require unified data structures or scalable reporting.
• Apply automation (Power Automate, Fabric pipelines) and AI tools to improve reporting efficiency, data quality, and governance workflows.

Ideal Candidate Profile

• Deep hands-on expertise with Power BI, Microsoft Fabric, data modeling, and cloud data platforms.
• Track record of establishing and enforcing enterprise reporting standards and governance.
• Strong architectural intuition: semantic modeling, master data definition, cross-system alignment, and scalable design.
• Able to operate as both an individual contributor and a strategic leader.
• Experience managing reporting governance artifacts (certified datasets, endorsed reports, workspace strategy).
• Comfortable influencing architectural decisions and guiding technical execution.
• Strong command of foundational tools and languages such as:
• DAX
• Power Query / M
• SQL
• Fabric pipelines / ETL tooling
• Experience with automation and AI-assisted analytics workflows.

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.

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• 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.

  
  

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• 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.

  
  

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• 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.

  
  

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• 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.

  
  

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• 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."

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• 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.

Date Posted:

Country:

Location:

Position Role Type:

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Security Clearance Type:

Security Clearance Status:

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world.

The Mechanical Analysis and Test (MA&T) Department is responsible for ensuring structural and thermal design robustness across the Raytheon portfolio of products. From preliminary concepts to fielded weapon system support, MA&T delivers innovative structural and thermal engineering solutions utilizing methods ranging from classical fundamental & empirically based techniques to state-of-the-art finite element methods leveraging industry leading commercial tools; all complimented and validated by tests executed in a manner to ensure cost effective yet technically balanced solutions.

Raytheon is seeking a mid-level career Senior Structural Engineer to join the Mechanical Analysis and Test Department.  In this role you will be responsible for detailed structural analysis to support all phases of programs including development and production. The analyses will cover a wide range of difficult problems, requiring solutions that are imaginative, thorough, practicable, and consistent with organization objectives. The analysis tasks will span the spectrum from classical hand calculations to detailed analyses requiring the use of finite element analysis software. You will be expected to define the scope and level of analysis required to meet the objectives and will be held accountable for completing the work within the agreed upon cost and schedule. You will be expected to present your work for peer reviews and to be a peer reviewer for other engineers’ work. The customers of this position will include internal personnel and programs as well as external Government(s) personnel and programs.

What You Will Do

• Perform detailed structural analyses to support all phases of programs

• Generate test plans required to validate analyses and verify hardware compliance to customer requirements

• Analyze test data to validate and correlate models, and/or generate mechanical loads and environments

• Work with limited oversight on complex problems to provide the answers needed under program cost and schedule constraints

• Coordinate and lead technical peer reviews ensuring the technical accuracy of work product as well as acting as a reviewer for others work products

• Present results to internal stakeholders and external customers

• Generate detailed, archival technical reports

• Travel to test sites to support test or design discussion (depending on work assignment)

• Act as a technical leader (help define and develop MA&T department technical processes and tools) and lead teams to meet program milestones

The Senior Mechanical Engineer - Structural Engineer job is in Tucson, AZ and the position is onsite.

Qualifications You Must Have

• Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 5 years of prior relevant experience or an Advanced Degree in a related field and minimum 3 years experience

• Experience in structural analysis (i.e. PATRAN, NASTRAN, ANSYS, ABAQUS or equivalent software)

Qualifications We Prefer

• Working knowledge of mechanical principles to solve classical structural engineering problems both inside and outside of software tools

• Ability to work in a collaborative, team-based environment and independently

• 8+ years of professional experience in the structural analysis of complex systems that require collaboration of multiple engineering disciplines (such as a weapon system)

• Experience in structural testing: planning, organization, execution, data reduction and correlation

• Experience with dynamic shock and vibration analysis

• Experience with solid modeling CAD tool such as CREO or equivalent

• Experience with Matlab

• Experience leading teams and strong interpersonal skills working in a team environment

• Experience presenting to external customers

  Ability to travel to government and other facilities in support of program activities

What We Offer:

• Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.

Learn More & Apply Now!

• Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.

#LI-SM4

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

Privacy Policy and Terms:

Click on this link to read the Policy and Terms

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.

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

787 Airframe in Boeing Commercial Airplanes is hiring for a Senior (Level 5) Structures Design Engineer for our Wing, Wing Edges, or Empennage teams to work at our North Charleston, SC location. At Boeing, our engineers share a passion to redefine what’s possible. To turn dreams into reality. To bring cutting edge technology to market. If you are seeking a dynamic, innovative environment, this opportunity is for you! This is a great opportunity to work in the Commercial Airplanes South Carolina Design Center, as a Structural Analysis Engineer.

Primary Responsibilities:

• Provides oversight and direction to develop, integrate and document structural and interior payload system requirements to establish the system design.

• Leads development, maintenance and modification of structural and interior payload system and component designs, using 3-D Computer Aided Design tools and/or other design methods, to provide product definition to other engineering groups, production operations, suppliers and external customers throughout the product lifecycle.

• Leads performance, integration and analysis of tests to validate and verify systems and components meet requirements and specifications.

• Manages supplier development, test and production activities and coordinates with the supplier to optimize the design and achieve program goals.

• Develops new design/analysis processes and tools to improve the effectiveness, quality and efficiency of the development effort.

• Investigates emerging technologies to develop concepts for future product designs to meet projected requirements.

• Works under consultative direction.

This position is expected to be 100% onsite.  The selected candidate will be required to work onsite at the North Charleston, SC location.

Basic Qualifications (Required Skills/ Experience):

• Bachelor of Science degree in Engineering (with a focus on Mechanical, Civil, Aerospace Aeronautical or Material Sciences)

• 12+ years of experience with aircraft structural design

• 9+ years of experience using CAD Tools on Model Based Definition for primary structures

• 9+ years of experience in program execution from concept development, design reviews, verification and qualification, hardware/software delivery and sustainment

• 6+ years of experience leveraging CATIA, ENOVIA, and PDM systems to support complex aerospace product design, configuration control, and lifecycle management.

• 3+ years of experience collaborating and performing oversight on projects with international partners/suppliers

• 3+ years of experience supporting test development and execution

• Part 21 and Part 25 Code of Federal Regulations subject matter expert knowledge

• Consultant level demonstrated autonomy while working with leadership and cross-functional technical teams

Preferred Qualifications (Desired Skills/Experience):

• 5+ years of experience as a Design Approval Engineer (DAE)

• 3+ years of lead experience using CATIA and Model Based Definition (MBD) for primary structure design

• 3+ years of lead experience designing and qualifying composite primary and secondary structures, including laminate design, ply-drop strategies, and structural strength considerations

• 3+ years of experience working in Product Development, Production, and Fleet phases of the Product Life Cycle

• 3+ years of hands-on experience with fabrication of metallic and composite structures

• 3+ years of experience interacting with Federal Regulators

Conflict of Interest: Successful candidates for this job must satisfy the Company’s Conflict of Interest (COI) assessment process

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Shift:

This role is for 1st shift, however, there may be additional shift requirements to support program objectives

Pay Range Summary:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent.  Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.  

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.  

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Please note that the salary information shown below is a general guideline only.  Pay is based upon candidate experience and qualifications, as well as market and business considerations.  

Summary pay range for Senior (Level 5): $154,700 – $209,300

Applications for this position will be accepted until Apr. 16, 2026

Export Control Requirements:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Export Control Details:

US based job, US Person required

Education

Bachelor's Degree or Equivalent Required

Relocation

This position offers relocation based on candidate eligibility.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

This position is for 1st shift

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

Wakefern Food Corp. is the largest retailer-owned cooperative in the United States and supports its co-operative members' retail operations, trading under the ShopRite®, Price Rite®, The Fresh Grocer®, Dearborn Markets®, and Gourmet Garage® banners.

Employing an innovative approach to wholesale business services, Wakefern focuses on helping the independent retailer compete in a big business world. Providing the tools entrepreneurs need to stay a step ahead of the competition, Wakefern’s co-operative members benefit from the company’s extensive portfolio of services, including innovative technology, private label development, and best-in-class procurement practices.

Summary

The ideal candidate will have a strong background in designing, developing, and implementing complex projects, with a focus on cloud-based data warehousing and reporting solutions and driving efficiency within the organization. The role plays a pivotal role in defining data cloud architecture that requires close collaboration with application developers, data engineers, data analysts, data scientists, and BI developers to ensure seamless data integration and automation across various platforms. The Cloud Data Warehouse Architect is responsible for evaluating and selecting the most effective cloud technologies, data governance and compliance, and data warehouse process alignment with security best practices and industry regulations. The role demands passion for cutting-edge cloud solutions, performance optimization, and a proactive approach to troubleshooting complex data challenges in a fast-paced, highly collaborative environment. This role will enable organization to build scalable, cost-efficient systems that support advanced analytics, business intelligence, and machine learning use cases.

Essential Functions

• Participate in the development life cycle (requirements definition, project approval, design, development, and implementation) and maintenance of the systems.
• Define architecture standards and best practices for data warehousing and cloud infrastructure.
• Develop and manage backup strategies, disaster recovery plans, and failover mechanisms to ensure business continuity.
• Provide input for project plans and timelines to align with business objectives.
• Monitor project progress, identify risks, and implement mitigation strategies.
• Work with cross-functional teams and ensure effective communication and collaboration.
• Provide regular updates to the management team.
• Follow the standards and procedures according to Architecture Review Board best practices, revising standards and procedures as requirements change and technological advancements are incorporated into the >tech_ structure.
• Communicates and promotes the code of ethics and business conduct.
• Ensures completion of required company compliance training programs.
• Is trained – either through formal education or through experience – in software / hardware technologies and development methodologies.
• Stays current through personal development and professional and industry organizations.

Additional Functions

• Design scalable, secure, and efficient data warehouse solutions on cloud platforms such as Azure, Google Cloud, AWS.
• Implement robust security measures to ensure data privacy and comply with regulatory standards.
• Leverage cloud-native automation tools to streamline data management and reduce manual processes.
• Design, build, and maintain automated data pipelines and ETL/ELT processes, ensuring scalability and reliability in data operations.
• Design and implement data integration solutions to automate data flow between systems and databases.
• Designs and develops cloud automation solutions using various technologies, such as scripting languages, databases, APIs, and cloud services.
• Monitors and troubleshoots the cloud data warehouse solutions, resolving any issues or errors.
• Provides training and support to the end users of the cloud solutions.
• Maintain detailed architecture documentation and best practices for the organization’s data cloud infrastructure.
• Stay up-to-date with cloud technologies and data architecture trends to recommend and implement new tools and solutions.
• Understands cloud FinOps including chargeback and alert monitoring

Qualifications

• 5+ years of experience in cloud data warehouse design, cloud computing, and data architecture.
• A bachelor's degree or higher in computer science, information systems, or a related field.
• Deep understanding of cloud-based data warehousing solutions (e.g., Azure Fabric, Google BigQuery, AWS etc.)
• Knowledge of data security, encryption, and compliance in cloud environments.
• Understanding of DevOps practices and cloud infrastructure automation (CI/CD, Teraforms)
• Strong knowledge and skills in data automation technologies, such as Python, SQL, ETL/ELT tools, Kafka, APIs, cloud data pipelines, etc.
• Experience with data modeling tools.
• Familiarity with BI visualization tools such as Looker, Tableau, Microstrategy, PowerBI, or similar.
• Strong knowledge and skills in data management, data quality, and data governance.
• Strong communication, collaboration, and problem-solving skills.
• Ability to work on multiple projects and prioritize tasks effectively.
• Ability to work independently and in a team environment.
• Ability to learn new technologies and tools quickly.
• The ability to handle stressful situations.
• Highly developed business acuity and acumen.
• Strong critical thinking and decision-making skills.

Working Conditions & Physical Demands

• This position requires in-person office presence at least 4x a week.

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.

As a Data Steward Senior Analyst, you are part of a team responsible for enabling and supporting compliance with data-related enterprise policies within their domains/business units. You and your team are responsible for identifying critical data and associated risks, maintaining data definitions, classifying data, supporting data sourcing / usage requests, measuring Data Risk Controls, and confirming Data Issues are remediated. You have the opportunity to partner across various business units, technology teams, and product/platform teams to define and implement the data governance strategy, supervising and leading data quality, resolving data/platform issues, and driving consistency, usability, and governance of specific product data across the enterprise.

In addition, this role will play a key part in effectively communicating new and updated data-related policies to the teams responsible for compliance. The individual must be skilled in preparing clear, engaging presentations that translate formal policy language into practical, easy-to-understand guidance and “tell the story” behind the policy requirements. The role will also support the delivery of training sessions, facilitate policy office hours, and serve as a go-to resource for questions related to data governance and retention compliance.

Your Primary Responsibilities may include:

• Assist in identifying data-related risks and associated controls for key business processes. Risks relate to Record Retention (primary), Data Quality, Data Movement, Data Stewardship, Data Protection, Data Sharing, among others.

• Develop training materials and educate organization on Record Retention and Deletion processes and procedures.

• Develop deep understanding of key enterprise data-related policies and serve as the policy expert for the business unit, providing education to teams regarding policy implications for business.

• Collaborate with and influence product managers to ensure all new use cases are managed according to policies.

• Influence and contribute to strategic improvements to data assessment processes and analytical tools.

• Support current regulatory reporting needs via existing platforms, working with upstream data providers, downstream business partners, as well as technology teams.

• Subject matter expertise on multiple platforms.

• Responsible to partner with the Data Steward Manager in developing and managing the data compliance roadmap.

Qualifications include:

• 5 + years of experience in a similar role involved with ensuring compliance with Record Retention and Deletion policies.

• Strong communication skills and ability to influence and engage at multiple levels and cross functionally.

• Intermediate understanding of Data Management and Data Governance concepts (metadata, lineage, data quality, etc.) and prior experience.

• 5+ years of Data Quality Management experience.

• Strong familiarity with data architecture and/or data modeling concepts

• 5+ years of experience with Agile or SAFe project methodologies

• Bachelor’s degree in Finance, Engineering, Mathematics, Statistics, Computer Science or other similar fields.

• Preferred: Experience in Travel Industry.

• Preferred: Knowledge of RCSA (Risk Control Self-Assessment) methodology

Leadership Skills may include:

• Makes Decisions Quickly and Effectively: Drives effective outcome through decision making authority. Displays judgement and discretion in order to ensure deliverables are sufficient to the American Express policy and overall compliance.

• Drives Innovation & Change: Provides systematic and rational analysis to identify the root cause of problems. Is prepared to challenge the status quo and drive innovation. Makes informed judgments, recommends tailored solutions.

• Leverages Team - Collaboration: Coordinates efforts within and across teams to deliver goals, accountable to bring in ideas, information, suggestions, and expertise from others outside & inside the immediate team.

• Communication: Influences and holds others accountable and has ability to convince others. Identifies the specific data governance requirements and is able to communicate clearly and in a compelling way.

"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.