Senior Data Architect

Overview

Tanaq Technical Services (TTS), a division of St. George Tanaq (SGT) Corporation, is an 8(a) Alaskan Native Small Business specializing in delivering Enterprise Integrated Technology Solutions and Support Services to the Federal Government. TTS leverages proactive strategies and emerging technologies to deliver seamless, integrated services to clients. The company is Mission Driven and People Focused. Learn more at

Senior Data Architect – Fully remote, United States – Full‑time – Federal government contract for HUD OCIO. Requires a federal background check and NACI clearance, and residence in the United States.

As the agency’s senior data architecture authority, you will shape and govern the data architecture underpinning HUD’s AI, analytics, and cloud modernization strategy. You will define the long‑term data vision, establish enterprise standards, and architect scalable, secure, cloud‑native data ecosystems that support mission AI/ML critical operations. You will lead data governance initiatives, construct metadata, lineage, quality, and stewardship frameworks, and guide Data and AI Engineers.

• Define and lead the agency’s enterprise data architecture strategy supporting AI, analytics, and cloud modernization.
• Architect cloud‑native 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.
• Partner with AI/ML teams to design data pipelines, feature stores, and model‑ready datasets that support advanced analytics.
• Advise senior leadership on data strategy, modernization roadmaps, and emerging technologies.
• 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.
• Configure and manage AI/ML‑ready cloud infrastructure (AWS Bedrock, Azure OpenAI).
• Oversee the development of data catalogs, master data management solutions, and enterprise data services.

• 7+ years of experience in data architecture, enterprise architecture, or large‑scale data engineering.
• Enterprise data modeling spanning grants, housing, and broader program domains.
• Metadata, lineage, and governance implemented through policy‑as‑code approaches.
• 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.
• Experience with Lakehouse architectures, data‑contract patterns (e.g., Delta/Iceberg), MDM, deduplication, and PII minimization or tokenization.
• Event‑driven and CDC‑based architectures, familiarity with analytical and vector data stores.
• Compliance with FISMA and FedRAMP requirements, including logging, auditability, and ATO evidence.
• Expertise in cloud‑native data systems and large‑scale data processing.
• Design and implementation of AI/ML pipelines and federal‑compliant systems.
• Ability to pass federal background screening and obtain and maintain the required clearance.
• Must be legally authorized to work in the United States without employer sponsorship.

• Cloud platforms:
  Azure and AWS.
• Cloud native services: AWS Bedrock, Azure OpenAI, S3, Redshift, Data Factory.
• Deep knowledge of relational, No
  
  SQL, and distributed data systems.
• Experience with ETL/ELT frameworks:
  Airflow, Spark, Databricks, data integration patterns, API‑driven architectures.
• Support for AI/ML initiatives and model lifecycle data needs.
• Data modeling, schema design, and optimization for AI workloads.
• Programming:
  Python, SQL, Scala, PySpark, Java, Terraform, Kafka, JSON, Bash/Powershell.
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