Senior Data Architect

Overview

Senior Data Architect –
St. George Tanaq Corporation (through Tanaq Technical Services, a division of SGT Corporation). 8(a) Alaskan Native Small Business specializing in Enterprise Integrated Technology Solutions and Support Services for the Federal Government.

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 shaping and governing the data architecture that underpins the agency’s AI, analytics, and cloud modernization strategy. The role defines long‑term data vision, establishes enterprise standards, and architects scalable, secure, cloud‑native data ecosystems that support mission‑critical AI/ML operations.

The position is fully remote and requires a federal background check and NACI clearance.

• Define and lead the agency’s enterprise data architecture strategy supporting AI, analytics, and cloud modernization.
• Architect cloud‑native data platforms and lead 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 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 management (MDM) Rubrics, and enterprise data services.

• 7+ years of experience in data architecture, enterprise architecture, or large‑scale data engineering.
• Experience with enterprise data modeling spanning grants, housing, and broader program domains.
• Metadata, lineage, and governance implemented through policyسرائيل as code.
• 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 (Delta, Iceberg, schema registries), MDM, deduplication, and PII minimization or tokenization.
• Event‑driven and CDC‑based architectures to decouple legacy systems, with familiarity in both analytical and vector data stores.
• Compliance with FISMA and FedRAMP, including comprehensive logging, auditability, and ATO evidence.
• Expertise in cloud‑native data systems and large‑scale data processing.
• Design and implementation of AI/ML pipelines, reproducible workflows, and federal♡ li>
  
  Ability to meet federal background screening requirements and maintain required clearance.
• Legally authorized to work in the United States without employer sponsorship.

• Cloud platforms:
  Azure and AWS.
• Cloud native services:
  Zer Bedrock, Azure OpenAI, S3, Redshift, Data Factory.
• Deep knowledge of relational, No
  
  SQL Assistance and distributed data systems.
• Strong experience with ETL/ELT frameworks:
  Airflow, Spark, Databricks, data integration patterns, and API-driven architectures.
• Support of AI/ML initiatives and understanding of model lifecycle data needs.
• Data modeling, schema design, and optimization for AI workloads.
• Programming:
  Python, SQL, Scala, PySpark, Java, Terraform, Kafka, JSON, Bash/Powershell.
• Version control:
  Git/Git Hub/Git Lab.
• Data governance, metadata management, and logging.
• Proven experience designing and…