Technical Usage Data Jobs in Usa

Responsibilities:

• Evaluate third-party data sources and emerging technology solutions to assess legal, regulatory, and risk considerations.
• Develop, update, and operationalize internal standards governing responsible data usage and advanced analytics technologies.
• Partner closely with technical, research, and business teams to provide practical guidance throughout development and implementation processes.
• Track changes in the legal and regulatory landscape and translate implications into actionable recommendations for internal stakeholders.
• Contribute to enterprise risk management, oversight frameworks, and internal control initiatives related to information and technology use.

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• Administer and operate Microsoft Purview Data Map and Data Catalog environments.
  
• Monitor platform health, scan execution, metadata ingestion, and lineage availability.
  
• Troubleshoot and resolve catalog, scan, and connectivity issues.
  
• Perform routine maintenance, configuration updates, and service optimizations.
  
• Coordinate incident resolution with internal engineering teams and Microsoft support as required.
  

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• Register, configure, and maintain data sources across Azure, M365, on?prem, and approved third?party platforms.
  
• Configure and schedule metadata scans for supported sources.
  
• Manage authentication for scans using managed identities, service principals, and Key Vault secrets.
  
• Monitor scan performance, failures, and coverage; take corrective action as needed.
  
• Optimize scan frequency and scope to balance cost, performance, and governance coverage.
  

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• Maintain and enforce enterprise metadata standards within the Purview Catalog.
  
• Manage business metadata, classifications, glossary terms, and custom attributes.
  
• Ensure metadata accuracy, completeness, and consistency across data assets.
  
• Support curation activities including asset certification and publishing.
  
• Resolve duplicate, incomplete, or stale catalog entries.
  

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• Enable and validate data lineage ingestion from supported data platforms.
  
• Monitor lineage completeness and visibility for critical data assets.
  
• Assist data consumers and stewards with lineage?based impact analysis.
  
• Escalate lineage gaps or tool limitations requiring architectural or engineering remediation.
  

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• Configure and manage Purview role?based access control (RBAC) within collections.
  
• Provision and maintain access for administrators, data curators, and data stewards.
  
• Enforce domain?based access controls and separation of duties.
  
• Integrate Purview access with Microsoft Entra ID.
  
• Support sensitivity labels and classification alignment with Microsoft Information Protection.
  

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• Support automated discovery of sensitive data (PII, PCI, PHI).
  
• Assist risk, audit, and compliance teams with catalog evidence and reporting.
  
• Validate scan coverage for regulated data domains.
  
• Support regulatory and audit initiatives (SOX, GLBA, NYDFS, GDPR, etc.).
  

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• Provide operational support to data producers, consumers, and data stewards.
  
• Respond to access requests, catalog issues, and usage questions.
  
• Maintain operational documentation, runbooks, and standard operating procedures.
  
• Support onboarding of new data domains following established governance patterns.
  
• Assist with training and adoption initiatives led by governance or architecture teams.
  

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• 5+ years experience supporting enterprise data platforms or governance tools and 4+ years hands?on MS Purview experience at enterprise scale.
  
• Hands?on experience administering Microsoft Purview Data Catalog.
  
• Strong understanding of metadata management, data classification, and lineage concepts.
  
• Working knowledge of Azure data services and enterprise data ecosystems.
  
• Experience managing access controls and identities using Microsoft Entra ID.
  
• Familiarity with regulated data environments and compliance requirements.
  
• Strong troubleshooting, operational support, and documentation skills.
  

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• Experience supporting Purview integrations with Synapse, Fabric, Databricks, Snowflake, or SQL Server.
  
• Exposure to financial services or other regulated industries.
  
• Experience with PowerShell, REST APIs, or basic automation for operational tasks.
  
• Prior experience supporting enterprise data governance or stewardship programs.
  

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.

Resource 1 is in need of a Sr. Data Architect/ Modeler for a long-term contract in downtown Chicago. Our client requires 2 days/week onsite (Tues/Wed or Tues/Thurs), so candidates must be local.

The consultant will join a Dynamics 365 implementation project to lead data migration, Dataverse/ CDM data modeling, and analytics enablement for various business units. They will design and validate data models and guide migration/testing efforts.

Responsibilities:

• Lead data migration strategy and roadmap for the Dynamics 365 implementation.
• Design, document, and validate Dataverse/ CDM data models and entity relationships for D365 use cases.
• Own CDM‑centric data design: map legacy/ source systems to Dynamics 365 CE & F&O CDM entities, identify gaps, propose extensions, and document modeling decisions.
• Establish best practices for CDM usage, lineage, versioning, and review gates.
• Assess downstream impacts of model and migration changes and define additional data capture or retention needs.
• Guide and review ETL/pipeline implementation with data engineering team using Synapse/ ADF/ Fabric and ADLS Gen2.
• Participate in the gathering of reporting and operational requirements and translating them into data model and migration specifications.

Required Skills & Experience:

• Experience with Common Data Model (CDM) and Dynamics 365 (CE and/or F&O) data.
• Prior experience working on a Dynamics 365 migration project.
• Experience with Dataverse/ CDM data modeling.
• Familiarity with Microsoft data stack including Synapse, ADF, Fabric and ADLS Gen2.
• Ability to develop and execute test plans, validate migrations, and identify downstream reporting impacts.

Location: Anywhere in Country

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

EY is seeking a motivated professional with solid experience in the utilities sector to serve as a Senior Manager who possesses a robust background in Data Architecture, Data Modernization, End to end Data capabilities, AI, Gen AI, Agentic AI, preferably with a power systems / electrical engineering background and having delivered business use cases in Transmission / Distribution / Generation / Customer. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data ready architectures.

You will help our clients enable better business outcomes while working in the rapidly growing Power & Utilities sector. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform. During implementation you will solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for your clients. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career.

As a Senior Manager in Data Architecture, you will have the opportunity to lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes. You will provide assurance to leadership by managing timelines, costs, and quality, and lead both technical and non-technical project teams in the development and implementation of cutting-edge technology solutions and infrastructure. You will have the opportunity to be face to face with external clients and build new and existing relationships in the sector. Your specialized knowledge in project and program delivery methods, including Agile and Waterfall, will be instrumental in coaching others and proposing solutions to technical constraints.

In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will drive continuous process improvement and identify innovative solutions through research, analysis, and best practices. Managing professional employees or supervising team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include:

As Data Architect – Senior Manager, you will have an expert understanding of data architecture and data engineering and will be focused on problem-solving to design, architect, and present findings and solutions, leading more junior team members, and working with a wide variety of clients to sell and lead delivery of technology consulting services. You will be the go-to resource for understanding our clients’ problems and responding with appropriate methodologies and solutions anchored around data architectures, platforms, and technologies. You are responsible for helping to win new business for EY. You are a trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations. You are also a charismatic communicator and thought leader, capable of going toe-to-toe with the C-level in our clients and prospects and willing and able to constructively challenge them.

To thrive in this role, you will need a combination of technical and business skills that will make a significant impact. Your skills will include:

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• Technical Skills Applications Integration
  
• Cloud Computing and Cloud Computing Architecture
  
• Data Architecture Design and Modelling
  
• Data Integration and Data Quality
  
• AI/Agentic AI driven data operations
  
• Experience delivering business use cases in Transmission / Distribution / Generation / Customer.
  
• Strong relationship management and business development skills.
  
• Become a trusted advisor to your clients’ senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy in general and in the use of analytic technology solutions to solve business problems.
  
• Engage with senior business leaders to understand and shape their goals and objectives and their corresponding information needs and analytic requirements.
  
• Collaborate with cross-functional teams (Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients’ objectives.
  
• Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects.
  
• Lead the design and implementation of modern data architectures, supporting transactional, operational, analytical, and AI solutions.
  
• Direct and mentor global data architecture and engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.
  
• Establish data governance policies and practices, including data security, quality, and lifecycle management.
  
• Stay abreast of industry trends and emerging technologies in data architecture and management, recommending innovations and improvements to enhance our capabilities.
  

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• A Bachelor’s degree required in STEM
  
• 12+ years professional consulting experience in industry or in technology consulting.
  
• 12+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions.
  
• 5+ years’ experience with native cloud products and services such as Azure or GCP.
  
• 8+ years of experience mentoring and leading teams of data architects and data engineers, fostering a culture of innovation and professional development.
  
• In-depth knowledge of data architecture principles and best practices, including data modelling, data warehousing, data lakes, and data integration.
  
• Demonstrated experience in leading large data engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications.
  
• Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably.
  
• Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta Lakes.
  
• Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations.
  
• Previous hands‑on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala.
  
• Ability to design data solutions that can scale horizontally and vertically while optimizing performance.
  
• Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads.
  
• Experience in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps).
  
• Practical understanding of data encryption, access control, and security best practices to protect sensitive data.
  
• Experience leading Infrastructure and Security engineers and architects in overall platform build.
  
• Excellent leadership, communication, and project management skills.
  
• Data Security and Database Management
  
• Enterprise Data Management and Metadata Management
  
• Ontology Design and Systems Design
  

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• Master’s degree in Electrical / Power Systems Engineering, Computer science, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience.
  
• Experience working at big 4 or a major utility.
  
• Experience with cloud data platforms like Databricks.
  
• Experience in leading and influencing teams, with a focus on mentorship and professional development.
  
• A passion for innovation and the strategic application of emerging technologies to solve real-world challenges.
  
• The ability to foster an inclusive environment that values diverse perspectives and empowers team members.
  
• Building and Managing Relationships
  
• Client Trust and Value and Commercial Astuteness
  
• Communicating With Impact and Digital Fluency
  

We are looking for top performers who demonstrate a blend of technical expertise and business acumen, with the ability to build strong client relationships and lead teams through change. Emotional agility and hybrid collaboration skills are key to success in this dynamic role.

FY26NATAID

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

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• We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
  
• Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
  
• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.
  

EY accepts applications for this position on an on‑going basis.

For those living in California, please click here for additional information.

EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at .

The pay range for this role is $150,000 - $200,000/yr USD.

WHO WE ARE:

Headquartered in Southern California, Skechers—the Comfort Technology Company®—has spent over 30 years helping men, women, and kids everywhere look and feel good. Comfort innovation is at the core of everything we do, driving the development of stylish, high-quality products at a great value. From our diverse footwear collections to our expanding range of apparel and accessories, Skechers is a complete lifestyle brand.

ABOUT THE ROLE:

Skechers Digital Team is seeking a Digital Data Architect reporting to the Director, Digital Architecture, Consumer Domain. This role is responsible for designing and governing Skechers’ Consumer Data 360 ecosystem, enabling identity resolution, high-quality data foundations, personalization, loyalty intelligence, and machine learning capabilities across digital and retail channels.

The ideal candidate will be a strong technical leader, have hands-on full-stack technical knowledge in enterprise technologies related to Skecher’s consumer domain, and have the ability to work in a fast-paced agile environment. You should have knowledge of consumer programs from an architecture/industry perspective, and you should have strong hands-on experience designing solutions on the Salesforce Core Platform (including configuration, integration, and data model best practices).

You will work cross-functionally with Digital Engineering, Data Engineering, Data Science, Loyalty, and Marketing teams to architect scalable, secure, and high-performance data platforms that support advanced personalization and recommender systems.

WHAT YOU’LL DO:

• Responsible for the full technical life cycle of consumer platform capabilities which includes:
• Capability roadmap and technical architecture in alignment to consumer experience
• Technical planning, design, and execution
• Operations, analytics/reporting, and adoption
• Define and evolve Skechers’ Consumer Data 360 architecture, including identity resolution (deterministic and probabilistic matching) and unified customer profiles.
• Architect scalable data models and pipelines across CDP, CRM, e-commerce, marketing automation, data lake, and warehouse platforms.
• Establish enterprise data quality frameworks including validation, deduplication, anomaly detection, and observability.
• Optimize SQL workloads and large-scale distributed queries through performance tuning, partitioning, indexing, and workload management strategies.
• Design and oversee ML pipelines supporting personalization, churn modeling, and recommender systems.
• Partner with Data Science teams to productionize models using distributed platforms such as Databricks (Spark, Delta Lake, MLflow preferred).
• Ensure secure data governance, access control (RBAC/ABAC), and compliance with GDPR, CCPA, and related privacy regulations.
• Provide architectural oversight ensuring performance, scalability, resilience, and maintainability.
• Collaborate with stakeholders to translate business objectives (LTV growth, personalization lift, engagement) into scalable data solutions.

REQUIREMENTS:

• Computer Science, Data Engineering, or related degree or equivalent experience.
• 12+ years experience architecting enterprise data platforms in cloud environments.
• 9+ years experience with data engineering with a focus on consumer data.
• 6+ years experience working with Salesforce platforms, including data models and enterprise integrations.
• Strong experience with Data 360 and identity resolution architectures.
• Proven expertise in SQL performance tuning and large-scale data modeling.
• Hands-on experience implementing ML pipelines and recommender systems in production environments.
• Experience with cloud technologies (AWS, GCP, or Azure).
• Experience with integration patterns (API, ETL, event streaming).
• Experience providing technical leadership and guidance across multiple projects and development teams.
• Experience translating business requirements into detailed technical specifications and working with development teams through implementation, including issue resolution and stakeholder communication.
• Strong project management skills including scope assessment, estimation, and clear technical communication with both business users and technical teams.
• Must hold at least one of the following Salesforce Certifications (Platform App Builder, Platform Developer 1, JavaScript Developer 1).
• Experience with Databricks or similar distributed data/ML platforms preferred.

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• 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.
  

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• 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.
  

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• 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.
  

Loloi Rugs is a leading textile brand that designs and crafts rugs, pillows, and throws for the thoughtfully layered home. Family-owned and led since 2004, Loloi is growing more quickly than ever. To date, we’ve expanded our diverse team to hundreds of employees, invested in multiple distribution facilities, introduced thousands of products, and earned the respect and business of retailers and designers worldwide. A testament to our products and our team, Loloi has earned the ARTS Award for “Best Rug Manufacturer” in 2010, 2011, 2015, 2016, 2018, 2023, and 2025.

Security Advisory: Beware of Frauds

Protect yourself from potential fraud and verify the authenticity of any job offer you receive from Loloi. Rest assured that we never request payment or demand any sensitive personal information, such as bank details or social security numbers, at any stage of the recruiting process. To ensure genuine communication, our recruiters will solely reach out to applicants using an @ email address. Your security is of paramount importance to us at Loloi, and we are committed to maintaining a safe and trustworthy hiring experience for all candidates.

We are building a Business Operations Center of Excellence, and we need a Product Data Analyst to serve as the "Guardian of the Golden Record." In this role, you are the absolute owner of product data integrity as it relates to the digital customer experience. You ensure that every item we sell is accurately represented across every touchpoint—from our ERP and PIM to our website storefront and marketing feeds. This is not a data entry role; it is a high-impact technical logic and investigation role. You will work directly with our Data Platform and Software Engineering teams to define business rules, audit data health via complex SQL, and troubleshoot data transmission errors before they impact the customer.

Responsibilities

• Storefront Governance: Serve as the absolute owner of product data integrity within the PIM. Ensure that all storefront-critical attributes (pricing, dimensions, weights, image links) are accurate and standardized for a seamless customer experience.
• Technical Data Auditing: Write and run complex SQL queries against our centralized database to identify anomalies, "orphan" records, and data hygiene issues that need resolution. You will be expected to query across multiple schemas to validate data consistency between systems.
• Feed Logic & Mapping: You will manage the logic of how data translates from our PIM to external endpoints. You will ensure that our products appear correctly on Google Shopping, Meta, Amazon, and other marketplaces by managing feed rules and mapping definitions.
• API Payload Analysis: You will act as the first line of defense for data transmission errors. If a product isn't showing up on the site, you will review the JSON/XML response bodies to determine if it is a data payload error or a software code bug.
• Cross-Functional Impact Analysis: You will act as the gatekeeper for data changes, predicting downstream impacts (e.g., "If Merchandising changes this Category Name, it will break the Finance reporting filter").
• Hygiene Logic Definition: You will partner with our IT/Database team to define automated health checks. You identify the "rot" (bad data patterns), and they implement the database constraints to stop it.

What You Will NOT Do (The Boundaries)

• No Web Development: You are not a Front-End Developer. You do not write HTML, CSS, or React code. You ensure the data powering those components is 100% accurate.
• No Manual Data Entry: Your job is not to copy-paste descriptions. You build the systems, bulk processes, and logic that ensure data quality at scale.
• No Database Administration: You do not manage server uptime or schema changes (IT owns this). You own the quality of the records inside the database.

Intersection with Technical Teams

• With IT (Database Mgmt): IT owns the infrastructure and schema; you own the quality of the data within it. When you identify a systemic issue (e.g., "5,000 orphan records"), you partner with IT to implement the technical fix (scripts/constraints).
• With Software Engineering (Commerce): If a product is missing from the site, you check the data payload. If the data is correct, you hand off to Engineering, confirming it is a code/caching bug rather than a data error.

Experience, Skills, & Ability Requirements

• 5-8 years of experience in Data Management, PIM Administration, or technical eCommerce Operations.
• SQL Proficiency: You are comfortable writing queries beyond simple SELECT *. You should be proficient with CTEs (Common Table Expressions), Window Functions (e.g., Rank, Lead/Lag), Subqueries, and complex Joins to act as a forensic data investigator.
• API Fluency: You can read and understand JSON and XML. You know what a valid payload looks like and can spot formatting errors or missing keys.
• Data Manipulation: You are an expert at handling large datasets (CSVs, Excel) and understand data types, formatting standards, and normalization concepts.
• You love hunting down the root cause of an error. You don't just fix the wrong price; you find out why the price was wrong and build a rule to stop it from happening again.
• You have high standards for accuracy. You understand that a wrong weight in the system means a financial loss on shipping for the business.

Bonus Points (Nice-to-Haves)

• Familiarity with Visio/Lucidchart to visualize data flows.
• Ability to build simple dashboards in Tableau to track data health scores.
• Basic familiarity with Python or R for data manipulation.

What We Offer

• Health, dental, and vision benefits
• Paid parental leave
• 401(k) with employer match
• A culture of meritocracy that fosters ongoing growth opportunities
• A stable, growing family-owned company that looks after its employees

Loloi Rugs does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. We seek a diverse pool of applicants and consider all qualified candidates regardless of race, ancestry, color, gender identity or expression, sexual orientation, religion, national origin, citizenship, disability, Veteran status, marital status, or any other protected status. If you have a special need or disability that requires accommodation, please let us know.

IDR is hiring for a 6 Month Contract to Hire Technical Product Owner

Join a leading organization in the data technology sector, where innovation and agility drive success. This fully remote role offers the opportunity to influence key data engineering initiatives, collaborating across diverse teams to deliver impactful digital products. If you're passionate about data solutions, thrive in fast-paced environments, and possess a strong technical acumen, this is your chance to make a difference and grow your career.

Position Overview for the Technical Product Owner:

• Act as a pivotal link between Data Engineering teams and business stakeholders to facilitate successful technology delivery across digital products

• Manage and prioritize data engineering product backlog, ensuring alignment with organizational objectives

• Author user stories and acceptance criteria, leading refinement sessions and sprint planning

• Lead Agile ceremonies including daily standups, sprint reviews, and retrospectives to ensure smooth delivery

• Utilize data and AI tools to analyze issues, optimize workflows, and maintain high quality in product artifacts

Requirements for the Technical Product Owner:

• Proven experience in stakeholder interaction and managing product backlogs in an Agile environment

• Strong documentation skills and the ability to communicate complex technical requirements effectively

• Proficiency with SQL, data engineering processes, and related technologies such as Azure SQL, Data Factory, SSIS, and Azure Data Lake

• Familiarity with Microsoft tech stack and data delivery tools is highly preferred

• Solid understanding of data engineering concepts and successful delivery of technical products

What's in it for you?

• Opportunity to work remotely with flexible hours, supporting a dynamic team that values innovation and autonomy

• Competitive pay rate of $60-68/hr, leading to an annualized salary of approximately $135,000 + 10% STIP

• Be part of a company with a strong focus on data-driven solutions and cutting-edge technology adoption

• Gain hands-on experience with AI-driven processes and advanced data engineering tools

Why IDR?

• 25+ Years of Proven Industry Experience in 4 major markets

• Employee Stock Ownership Program

• Dedicated Engagement Manager who is committed to you and your success

• Medical, Dental, Vision, and Life Insurance

• ClearlyRated's Best of Staffing® Client and Talent Award winner 12 years in a row.

REMOTE

Perform a variety of routine and complex skilled and technical work in the maintenance of a Geographic Information System (GIS) relating to the Public Works Computerized Maintenance Management System (CMMS) and asset management program. Act as the primary contact for Public Works CMMS data stewardship. Apply GIS technology to provide GIS and CMMS data related technical support. Perform research, analysis, design and creation of data and applications for use in the Geographic Information System. These tasks are illustrative only and may include other related duties.

Collects, inputs, edits, and verifies spatial data from a variety of internal and external data inputs. Integrates associated attribute data. Manipulates, models, and analyzes spatial data in the geographic information system. Documents data entry and related procedures.

Maintains Public Works GIS datasets and mapping system. Applies GIS technology to produce and perform advanced data entry and manipulation, produces documentation, and performs spatial analysis. Develops and runs spatial queries and produces reports.

Modifies and maintains CMMS data to support asset data analysis. Collaborates with Asset Management staff and Public Works supervisors to assist in program development by gathering information for assets and other new and old data and information needed to allow the asset data system to function effectively; creates new codes for the above areas mentioned and when necessary modifies asset characteristics and descriptions.

Coordinates with Public Works program supervisors to efficiently and accurately enter data into the system. Collects and enters asset data into the CMMS and related databases from various sources including direct field investigation; documents such as as-built drawings, invoices, and O&M manuals.

Generates standard and ad-hoc reports using the standard report structure of the asset data system, and other end user reporting tools, provides information for the preparation and distribution of periodic standard location and equipment reports to support maintenance teams and management requests.

Performs quality control checks of asset data to ensure the accuracy of all data within the system.

Provides implementation and ongoing operational support for GIS/CMMS and GIS/CMMS users.

Provides system and data troubleshooting. Collaborates with IT to resolve system or data issues.

Develops programs, procedures, and applications using GIS and related software tools.

Applies software such as, CAD, database, spreadsheet, word processing, communications, graphics and web publishing software to the production and delivery of GIS related products.

Provides daily user support including routine troubleshooting and system and data maintenance for asset data analysis, working closely with Information Technology to evaluate responsibility for addressing specific requests.

Provides technical assistance and guidance to users of GIS products. Performs departmental-focused project management. Meets with GIS users to define project requirements and set priorities.

Participates on interdepartmental teams and committees for GIS and CMMS projects. Contributes to work group GIS software design projects. Maintains an understanding of the ESRI product portfolio and provides guidance for Public Works' use of available tools.

Operates printers, copiers and large-format plotters, and has ability to load large rolls of paper into plotters.

Acts ethically and honestly; applies ethical standards of behavior to daily work activities and interactions. Builds confidence in the City through own actions.

Conforms with all safety rules and performs work is a safe manner.

Delivers excellent customer service to diverse audiences. Maintains positive customer service demeanor and delivers service in a respectful and patient manner.

Maintains effective work relationships.

Arrives to work, meetings, and other work-related functions on time and maintains regular job attendance.

Complies will all Administrative Policies. Performs work in accordance with Council Policies and Municipal Code sections applicable to position.

Education and Experience
High School diploma or equivalent. Four years of professional experience in designing, supporting and implementing GIS applications. A post-secondary degree in GIS or closely related field may substitute for up to 4 years of experience.

Strong computer background in GIS software, Computer Aided Drafting software, related third party GIS software applications, database management systems software and windows based operating systems.

Municipal experience is desired.

Knowledge, Skills and Abilities
General knowledge of the principles, theories and methods of database concepts, structures, and programming logic; and the various types, classes, uses, and interrelationships of assets within a typical municipal Public Works department.

Advanced skills in use of GIS and CMMS related software in a production environment.

Ability to program in GIS, relational and spatial database, and web languages is desired.

Good oral and written communication skills; ability to communicate technical information to a non-technical audience, ability to research, interpret and summarize data.

Ability to prioritize multiple projects from numerous customers.

Knowledge of cartographic principles, spatial analysis techniques, and data management practices.

Ability to research and recommend new methods, equipment, or programs to better accomplish tasks.

Ability to travel among City worksites.

Special Requirements
Ability to pass a pre-employment background and/or criminal history check

Demonstrable commitment to sustainability.

Demonstrable commitment to promoting and enhancing equity, diversity and inclusion.

The individual shall not pose a direct threat to the health or safety of the individual or others in the workplace.

Qualified applicants must submit an online application located on the City of Corvallis website (click on "Apply" above).

Resumes will not be accepted in lieu of a completed online application. Incomplete applications will not be accepted/considered.

Position is open until filled.
First review of applications will occur after 8:00 am on February 4, 2026

*Please do not include personal or protected information in attached resumes or cover letters, this includes your birth date, age, dates of education, and graduation dates.*

• 
  
• Set the technical strategy for data engineering solutions and data architecture which includes end to end data pipeline strategy, consumption management, project scoping, and data automation.
  
• Design, develop, and optimize data engineering solutions using Snowflake, DBT, Azure Data Factory, and Alteryx.
  
• Continuously assess and optimize the data engineering technology stack to ensure scalability, performance, and alignment with industry best practices.
  
• Implement best practices for data modeling, ETL/ELT processes, and automation.
  
• Own and maintain the Snowflake data warehouse roadmap and engineering standards.
  
• Lead data project scoping, prioritization, and resource allocation to ensure timely delivery of data engineering solutions.
  
• Ensure data integrity, security, and compliance across all engineering solutions.
  
• Collaborate with IT and rest of data teams to align solutions with enterprise
  
• Establish documentation and governance standards for data engineering workflows ensuring completeness, audit readiness, and traceability in alignment with enterprise architecture.
  
• Directly supervise the Data Architecture & Data Engineering team in accordance with Nicolet's policies and applicable laws. Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; coaching, mentoring and development planning; rewarding and disciplining employees; addressing complaints and resolving problems.
  

• 
  
• Bachelor's degree in Computer Science, Data Engineering, Data Analytics or related field.
  
• 7+ years in data engineering or related data roles required.
  
• 3+ years in leadership or management positions required.
  
• Strong technical expertise in Snowflake, DBT, Azure Data Factory and SQL or like systems.
  
• Familiarity with Alteryx, UiPath, Tableau, Power BI and Salesforce is preferred.
  
• Ability to design and implement scalable data solutions.
  
• Excellent leadership, communication, and organizational skills
  
• Ability to balance hands-on development with team development.
  
• Must be able to work fully in-office. This position does not allow for remote work.
  

• 
  
• Medical, Dental, Vision, & Life Insurance
  
• 401(k) with a company match
  
• PT0 & 11 1/2 Paid Holidays
  

Job Description :

We are seeking an experienced Salesforce Technical Architect to lead the design, development, and implementation of scalable Salesforce solutions across Sales, Service, Experience, and Platform capabilities. The ideal candidate will combine deep technical expertise with strong architectural and stakeholder management skills to deliver secure, high-performing, and future-ready Salesforce ecosystems.

Key Responsibilities

• Define end-to-end Salesforce technical architecture aligned with business and enterprise architecture standards

• Design scalable, secure, and high-performing Salesforce solutions across multiple clouds

• Translate business requirements into technical designs, architecture diagrams, and implementation roadmaps

• Establish integration patterns using REST/SOAP APIs, middleware, and event-driven architectures

• Lead technical design and development across Salesforce clouds:

o Sales Cloud

o Service Cloud

o Experience Cloud

o Data Cloud (preferred)

o Agent Force

• Guide best practices for Apex, Lightning Web Components (LWC), Visualforce, Flows, and integrations

• Govern code quality, performance, security, and deployment standards

• Architect integrations with external systems (ERP, legacy systems, data warehouses, third-party apps)

• Design data migration strategies, data models, and data governance frameworks

• Ensure data security, sharing models, and compliance with enterprise standards

• Act as the technical authority during project delivery, supporting development teams and resolving complex issues

• Collaborate with business stakeholders, product owners, solution architects, and enterprise architects

• Mentor developers and technical leads, conducting design and code reviews

• Support CI/CD pipelines, DevOps, and release management processes

Required Qualifications

• 12+ years of Salesforce platform experience

• 6+ years in a Salesforce Technical Architect or Lead Architect role

• Proven experience delivering large-scale, complex Salesforce implementations

• Hands-on experience with Apex, LWC, integrations, and Salesforce security model

• Strong expertise in:

o Apex, SOQL, SOSL

o Lightning Web Components (LWC)

o Salesforce security, sharing, and performance optimization

o REST/SOAP APIs, OAuth, SSO

• Experience with middleware tools (MuleSoft, Boomi, Informatica, etc.)

• Knowledge of DevOps tools (Git, CI/CD pipelines, Copado, Gearset, etc.)

• Must have acquired multiple Salesforce Certification including, Salesforce Integration Architecture Designer, Salesforce Data Architecture & Management Designer, Platform Developer II, Additional cloud certifications are a plus. Salesforce Certified Technical Architect (CTA) or progress toward CTA

• Experience with Salesforce Data Cloud, AI / Einstein, or Industry Clouds

• Prior experience in consulting or global delivery models

• Exposure to regulated industries (Financial Services, Healthcare, Utilities, Manufacturing, Logistics etc.)

• Strong communication and stakeholder management skills

• Ability to lead technical discussions with both technical and non-technical audiences

• Problem-solving mindset with attention to detail

• Experience working in distributed, remote teams

• Experience with Salesforce Data Cloud, AI / Einstein, or Industry Clouds

• Prior experience in consulting or global delivery models

• Exposure to regulated industries (Financial Services, Healthcare, Utilities, etc.)

• Competitive salary and performance-based incentives

• Opportunities to work on enterprise-scale Salesforce transformations

• Continuous learning, certification support, and career growth