Principal Data Architect
ASRC Federal is a leading government contractor furthering missions in space, public health and defense. As an Alaska Native owned corporation, our work helps secure an enduring future for our shareholders. Join our team and discover why we are a top veteran employer and Certified Great Place to Work™.
ASRC Federal Technology Solutions, a subsidiary of ASRC Federal, is seeking a Data Architect to remotely support our DHS program that we are bidding on. This position is contingent upon award.
The Data Architect will serve as the lead authority for designing, implementing, and maintaining enterprise data architecture under the ICE Law Enforcement Systems and Analysis (LESA) Data Quality Improvement Support Services contract, ensuring that data structures, models, and governance frameworks strengthen the accuracy, accessibility, and operational usability of mission‑critical systems such as the Enforcement Integrated Database (EID), the EAGLE application, and the Alien Removal Module (EARM). This role develops and enforces data standards, creates scalable data models, and collaborates closely with law enforcement stakeholders, system owners, and technical teams to align data strategies with operational requirements, compliance mandates, and long‑term modernization goals. The Data Architect ensures that data environments are optimized for integrity, performance, and interoperability, enabling reliable analytics, informed decision‑making, and continuous improvement across ICE data systems.
Key Responsibilities
Lead the design, development, validation, and documentation of data remediation approaches, analytical methods, to support AI/ML solutions.
Ensure all data approaches align with the LESA Data Quality Potential Error Inventory and comply with applicable DHS/ICE policies.
Collaborate with stakeholders to identify data quality issues, determine root causes, and recommend or implement corrective actions.
Facilitate user training and knowledge transfer on analytics and data quality processes.
Collaborate closely with data analysts, data scientists, and system owners to design data architectures that meet diverse application, analytics, and AI needs while strengthening data integrity and supporting mission objectives.
Qualifications
Minimum bachelor’s degree in computer science, information systems, data management, engineering, or a closely related discipline; an advanced degree (master’s or doctorate) is preferred.
At least eight (8) years of experience in data architecture, data engineering, or a closely related field, with hands-on experience designing and implementing enterprise data architectures, data models, and integration solutions in operational environments.
Demonstrated experience developing conceptual, logical, and physical data models; designing scalable data platforms and integration patterns; and incorporating data governance, quality, security, metadata, and lineage requirements. Proficiency with SQL and enterprise database, data warehouse, and cloud data platforms. Strong communication and collaboration skills, with the ability to translate business, application, analytics, and AI requirements into practical architectural designs.