Senior Data Architect

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Tanaq Technical Services (TTS), a division of St. George Tanaq (SGT) Corporation, is an 8(a) Alaskan Native Small Business that specializes in delivering Enterprise Integrated Technology Solutions and Support Services to the Federal Government. TTS's innovative approach combines proactive strategies, efficient processes and emerging technologies to deliver seamless, integrated services for our clients. TTS prides itself in being Mission Driven, People Focused.

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Fully Remote-United States

Job Typeədəni Full-time

We are seeking a Senior Data Architect to support the Department of Housing and Urban Development's Office of the Chief Information Officer (HUD OCIO). The Senior Data Architect serves as the enterprise level authority responsible for shaping and governing the data architecture that underpins the agency's artificial intelligence, analytics, and cloud modernization strategy. Operating at a strategic and technical leadership level, this role defines the long-term data vision, establishes enterprise standards, and architects scalable, secure, cloud native data ecosystems that support mission AI/ML critical operations.

A Senior Data Architect will drive agency wide data governance by constructing the metadata, data lineage, quality, and stewardship frameworks while ensuring full compliance with federal mandates such as FISMA, FedRAMP, NIST, and privacy regulations. In this role, they lead the development of the Notice of Funding Opportunity (NOFO) AI agent knowledge layer and establish enterprise modernization standards by authoring canonical data models and policies, defining event streams and shared data products adopted by LRS and partner programs while coaching Data andkillende AI Engineers in delivering secure, reusable, and compliant data capabilities.

This is a fully remote position supporting a federal government contract that requires a federal background check and NACI clearance. Candidates must reside in the United States.

• Define and lead the agency's enterprise data architecture strategy supporting AI, analytics, and cloud modernization.
• Architect cloud-native
  
  Numeric data platforms and oversee the modernization of legacy data systems into secure, scalable environments.
• Develop and maintain enterprise data models and standards that ensure interoperability across programs and systems.
• Lead agency-wide data governance initiatives, including metadata management, data lineage, quality frameworks, and stewardship.
• Lead and partner with AI/ML teams to design data pipelines, feature stores, and model-ready datasets that support advanced analytics.
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• Advise senior leadership on data strategy, modernization roadmaps, and emerging technologies relevant to mission needs.
• Ensure compliance with federal security and privacy requirements, including FISMA, FedRAMP, NIST, and the Privacy Act.
• Establish and enforce enterprise data integration patterns, APIs, and interoperability standards.
• Lead cross-functional working groups and serve as the technical authority for data architecture decisions.
• Mentor data engineers, analysts, and junior architects, fostering a culture of technical excellence.
• Configure and manage AI/ML-ready cloud infrastructure (AWS Bedrock, Azure OpenAI).
• Oversee the development of data catalogs, master data(hw) management (MDM) solutions, and enterprise data services.

• 7+ years of experience in data architecture, enterprise architecture, or large-scale data engineering.
sanitaires "Enterprise data modeling spanning grants, housing, and broader program domains.
• _twothom stocks metadata, lineage, and governance implemented through policy-as-code approaches.
Wieng "Design of an AI-ready knowledge layer, including document and record schemas, embedding and RAG strategies, and explainability metadata.
• Implementation of access, retention, and privacy controls using ABAC/RBAC models and Zero Trust principles.
• Lakehouse architectures and data-contract patterns (e.g., Delta/Iceberg, schema registries), along with MDM,…