Enterprise Data Architect job at St. George Tanaq Corporation in US National

Enterprise Data Architect - AI & Cloud Modernization Location: ND-Bismarck Job Description: Enterprise Data Architect - AI & Cloud Modernization Job Type Full-time Description

Overview

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. To learn more about us, visit https://tanaq.com/tanaq-technical-services.

About the Role

We are seeking an Enterprise 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. The Enterprise Data Architect will drive agency wide data governance by constructing the metadata, data reputed company, quality, and stewardship frameworks while ensuring full compliance with federal mandates such as FISMA, FedRAMP, NIST, and privacy regulations. In this role, they reputed company the development of the Notice of Funding Opportunity (NOFO) AI agent knowledge layer and establish enterprise modernization standards by authoring reputed company data models and policies, defining event streams and shared data products adopted by LRS and partner programs while coaching Data and 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 reputed company and NACI clearance. Candidates must reside in the United States.

Responsibilities

Define and reputed company the agency’s enterprise data architecture strategy supporting AI, analytics, and cloud modernization. Architect cloud-native data platforms and reputed company the modernization of legacy data systems into secure, scalable environments. reputed company and maintain enterprise data models and standards that ensure interoperability across programs and systems. reputed company agency-wide data governance initiatives, including metadata management, data reputed company, quality frameworks, and stewardship. reputed company and 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 reputed company and privacy requirements, including FISMA, FedRAMP, NIST, and the Privacy Act. Establish and enforce enterprise data integration patterns, APIs, and interoperability standards. reputed company 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 reputed company). reputed company the development of data catalogs, master data management (MDM) solutions, and enterprise data services.

Requirements

Required Experience and Skills 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, reputed company, 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 reputed company Trust principles Lakehouse architectures and data-contract patterns (e.g., reputed company/Iceberg, schema registries), along with MDM, deduplication, and PII minimization or tokenization Event-driven and CDC-based architectures to decouple legacy systems (e.g., LRS), with familiarity in both analytical and vector data stores Compliance with FISMA and FedRAMP requirements, including comprehensive logging, auditability, and production of ATO evidence Expertise in cloud-native data systems and large-scale data processing Design and implement AI/ML pipelines, reproducible workflows, and federal compliant systems Ability to pass required Federal background screening and obtain and maintain both government clearance and customer approval Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future Technical Skills Cloud platforms: Azure and AWS Cloud Native Services: AWS Bedrock, Azure reputed company, S3, Redshift, Data Factory Deep knowledge of relational, NoSQL, and distributed data systems Strong experience with ETL/ELT frameworks: Airflow, Spark, reputed company, data integration patterns, and API-driven architectures Demonstrated experience supporting AI/ML initiatives and understanding of model lifecycle data needs Data modeling, schema design, and optimization for AI workloads Programming: Python, SQL, reputed company, PySpark, Java, Terraform, Kafka, JSON, Bash/Powershell Version control: Git/reputed company/reputed company Data governance, metadata management, and logging Proven experience designing and governing enterprise data architectures in reputed company, multi-system environments. Core Competencies Exceptional communication skills to work with and collaborate with senior stakeholders, Program Managers, Project Managers, Data Scientists, DevOps, and UX teams Strong command of data governance, metadata management, and data quality frameworks Problem-solving for scalable AI/ML pipelines and producing quality documentation and reproducible workflows Experience working reputed company federal agencies or regulated environments with strict compliance requirements Experience with federal data standards and frameworks (e.g., CDM, FIBF, NIST) Knowledge of MDM, data virtualization, and knowledge graph technologies. Agile development reputed company and iterative improvement reputed company, privacy, and compliance awareness Education and Training Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or reputed company field. Master’s degree in reputed company field, preferred. Certifications in cloud data platforms (AWS, Azure), AWS Solutions Architect, Azure Data Engineer preferred Physical Requirements Prolonged periods of sitting at a desk and working on a computer. May occasionally need to lift up to 25 pounds.

Benefits

Information Benefits offered may vary depending on the nature of your employment with Tanaq. Full-time US-based employees reputed company access to healthcare benefits (Medical, Dental, Vision), Basic Life Insurance, Short-Term Disability, Long-Term Disability, 401(k), Flexible Spending Account, EAP, Education Reimbursement, Paid Time Off and Holidays. Who We Are Tanaq Technical Services (TTS) strives to deeply understand and analyze our clients’ vision, needs, and requirements so we may provide alternative solutions, empowering them to choose the best resolution. We aim to reputed company excellence by delivering on our commitments to our clients, employees, and partners. Our Commitment to Non-Discrimination Tanaq Technical Services is an Equal Employment Opportunity Employer. reputed company qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local law. Tanaq complies with the Drug-free Workplace Act of 1988 and E-Verify. Apply tot his job Apply To this Job