> Markdown version of [/jobs/ext/3040731-enterprise-data-architect](https://www.wearedevelopers.com/jobs/ext/3040731-enterprise-data-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Enterprise Data Architect - **Company:** Levi, Ray & Shoup, Inc. - **Location:** Washington, DC, United States - **Experience:** Expert - **Salary:** $155,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Cloud Database, Information Systems, Data Architecture, Data Governance, Identity and Access Management, Information Lifecycle Management, Information Management, Meta-Data Management, Metadata Repositories, Enterprise Data Management, Data Classification, Data Strategy, Usage Tracking, Information Technology, Data Lineage, Collibra, Data Management - **Published:** September 23, 2026 - **Apply:** https://evoportalus.tracker-rms.com/LRS/apply?jobcode=46423 ## About the Role * Bachelor's degree in Information Systems, Data Management, Computer Science, Business Analytics, or a related field, or equivalent professional experience. * 8+ years of experience in enterprise data architecture, data governance, data management, information management, or related disciplines. * Strong experience designing and implementing enterprise data governance frameworks and operating models. * Experience with metadata management, data cataloging, business glossaries, data lineage, stewardship programs, and data quality initiatives. * Experience evaluating and improving governance maturity across large organizations. * Knowledge of data classification, privacy, retention, access management, and information lifecycle management practices. * Experience working with business and technical stakeholders to define governance standards and accountability structures. * Strong understanding of data architecture principles, data management best practices, and enterprise information governance. * Experience developing governance roadmaps, operating procedures, standards, and supporting documentation. * Strong analytical, organizational, communication, and stakeholder management skills. * Experience with data catalog platforms such as Collibra, Alation, Microsoft Purview, Informatica, Atlan, or similar technologies. * Experience supporting regulatory, compliance, privacy, records management, or governance initiatives. * Familiarity with federal data strategy, evidence-based decision making, records management, privacy, or compliance requirements is preferred. * DAMA, CDMP, DCAM, cloud data, or data governance certifications are highly desirable. * Ability to obtain a Public Trust Clearance. * Ability to communicate effectively in English, both written and verbal. ## Description * All legitimate correspondence from our recruiting team will only come from an email address ending in @lrs.com. We do not use generic domains like @gmail.com, @yahoo.com, or @outlook.com. * We never conduct interviews solely via text-based chat on Microsoft Teams, Telegram, or WhatsApp. All virtual interviews involve a scheduled video or phone call with a member of our team. * LRS will never ask a candidate for payment, fees, or to purchase equipment (e.g., laptops, software) as a condition of employment. * All genuine job opportunities are listed directly on our official careers portal at Careers., LRS Consulting Services is seeking an Enterprise Data Architect (Governance) who is passionate about helping organizations transform data into a trusted strategic asset. This hybrid direct-hire opportunity offers the chance to establish enterprise data governance practices, improve data quality and accountability, and build the foundation for responsible, scalable data management across mission-critical business and technology platforms., * Develop and maintain enterprise data governance architecture, policies, standards, stewardship frameworks, metadata strategies, and data lifecycle management practices. * Design and implement governance models that improve data discoverability, quality, consistency, ownership, and accountability across the organization. * Lead initiatives related to data catalogs, business glossaries, metadata management, lineage tracking, stewardship workflows, and data quality frameworks. * Assess current-state data environments, identify governance gaps, and develop practical roadmaps for improving governance maturity. * Define data classification, retention, privacy, access control, and quality standards in partnership with cybersecurity and compliance teams. * Support the implementation and configuration of data catalog and metadata management platforms. * Design integration approaches for metadata ingestion, lineage capture, stewardship processes, and source system connectivity. * Collaborate with data architects, analytics teams, business stakeholders, platform engineers, and governance committees to align governance initiatives with business objectives. * Establish governance operating procedures, standards, decision frameworks, and adoption programs. * Promote enterprise-wide best practices related to data stewardship, quality management, metadata management, and responsible data usage. ## Related Videos - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Hacking Your Vacation: Using Data for Fun](https://www.wearedevelopers.com/videos/585-hacking-your-vacation-using-data-for-fun) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Why Event-Driven Architecture Isn’t About Speed (and When You Actually Need It)](https://www.wearedevelopers.com/magazine/745-why-event-driven-architecture-isn-t-about-speed-and-when-you-actually-need-it) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)