Senior Enterprise Data Architect - AI & Cloud Strategy

Job Overview Join Tanaq Technical Services (TTS), a dedicated division of St. George Tanaq (SGT) Corporation, known for delivering innovative technology solutions to the Federal Government. As a proud 8(a) Alaskan Native Small Business, we focus on proactive strategies, efficient processes, and emerging technologies to provide seamless integrated services. We invite you to become part of a mission-driven and people-focused team. About the Opportunity We are looking for a Senior Enterprise Data Architect to collaborate with the Department of Housing and Urban Development's Office of the Chief Information Officer (HUD OCIO). This leadership role will shape and govern the data architecture that supports the agency’s AI, analytics, and cloud modernization initiatives. You will define the long-term data vision, establish enterprise standards, and create secure, scalable, cloud-native data ecosystems crucial for AI/ML operations. The ideal candidate will be instrumental in driving comprehensive data governance, crafting frameworks for metadata, data lineage, quality, and stewardship while ensuring compliance with critical federal mandates. You will have the opportunity to author data models, define event streams, and guide Data and AI Engineers in delivering flexible and compliant data capabilities. This remote role requires a federal background check and NACI clearance. Candidates must reside in the United States. Key Responsibilities Lead the agency's enterprise data architecture strategy in line with AI, analytics, and cloud modernization efforts. Architect and oversee the migration of legacy data systems to secure, cloud-native platforms. Develop and maintain comprehensive enterprise data models that facilitate interoperability across various programs. Champion agency-wide data governance initiatives, establishing frameworks for metadata management, data lineage, and quality stewardship. Work closely with AI/ML teams to design effective data pipelines and model-ready datasets supporting advanced analytics. Provide strategic insights on data modernization roadmaps and emerging technologies to senior leadership. Ensure all systems remain compliant with federal security and privacy standards. Establish best practices for data integration patterns and interoperability standards. Lead cross-functional teams and serve as the technical authority on data architecture. Mentor junior team members and foster a culture of technical excellence. Manage AI/ML-ready cloud infrastructure efficiently. Support the development of data catalogs and master data management solutions. Qualifications 7+ years of experience in enterprise data architecture or large-scale data engineering. Expertise in enterprise data modeling relevant to grants, housing, and broader program sectors. Knowledge of metadata governance using policy-as-code approaches. Experience designing an AI-ready knowledge layer and implementing data privacy controls. Proficient in lakehouse architectures and data-contract patterns alongside MDM strategies. Experience with event-driven architectures to transition from legacy systems to modern solutions. Strong familiarity with compliance requirements such as FISMA and FedRAMP. Extensive knowledge of cloud-native services and large-scale data processing techniques. Skilled in building AI/ML pipelines and reusable workflows. Legal authorization to work in the U.S. without sponsorship. Technical Skills Proficient in cloud platforms like Azure and AWS. Experience with cloud-native services such as AWS Bedrock and Azure OpenAI. Strong knowledge of relational, NoSQL, and distributed data systems. Experienced in ETL/ELT frameworks like Airflow and Databricks. Demonstrated involvement in AI/ML initiatives and data lifecycle management. Skilled in data modeling and schema design for AI workloads. Programming expertise in Python, SQL, and Java, among others. Version control proficiency with Git. Solid foundation in data governance and metadata management. Core Competencies Exceptional communication skills to collaborate across diverse teams. Strong understanding of data governance, metadata management, and quality frameworks. Problem-solving skills focused on scalable AI/ML processes and documentation. Experience working in highly regulated environments. Familiarity with federal data standards and frameworks. Agile, iterative development mindset. Awareness of security, privacy, and compliance issues. Education and Certifications Bachelor's degree in a relevant field such as Computer Science or Data Engineering; a Master's degree is preferred. Relevant certifications in AWS and Azure data platforms are a plus. Work Requirements May require prolonged periods of sitting and working on a computer; occasional lifting of up to 25 pounds. Benefits Full-time employees can access a variety of benefits, including healthcare, life insurance, disability coverage, a 401(k) plan, education reimbursement, and generous paid time off. About Us Tanaq Technical Services is committed to understanding and analyzing client requirements to provide impactful solutions that empower them. We strive for excellence in all our commitments to clients, employees, and partners. Equal Opportunity Employer Tanaq Technical Services is an Equal Employment Opportunity Employer. We value diversity and encourage all qualified applicants to apply with confidence. For assistance with the application process due to disabilities, please contact us directly for accommodations. This email is intended only for accommodation requests and is not for application status inquiries. AI Usage Notice To ensure a fair interview process, the use of AI tools to assist in interview responses is not permitted. Candidates requesting a reasonable accommodation involving AI must reach out prior to their interview.

Created: 2026-03-11