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 is seeking a skilled Data Architect to support an upcoming contract based in Clarksburg, WV. This position offers remote work flexibility; however, candidates must reside within a commutable distance to Clarksburg to attend on-site meetings as needed. Applicants must be U.S. citizens with an active Secret clearance to meet contract requirements.

Summary: The Data Architect will be part of the Data Engineering team who will be responsible for deploying and maintaining the Data Mesh architecture, ensuring the efficient management, accessibility, and interoperability of enterprise data across systems.

Responsibilities:

• Participates in planning, definition, and high-level design of data solutions, exploring alternatives and evaluating new technologies.
• Develops and maintains scalable cloud-based data infrastructure, ensuring alignment with the organization's decentralized data management strategy.
• Designs and implements ETL pipelines using AWS services (e.g., S3, Redshift, Glue, Lake Formation, Lambda) to support data domain requirements and self-service analytics.
• Collaborates with data domain teams to design and deploy domain-specific data products, adhering to organizational standards for schema design, data transformations, and storage solutions.
• Establishes and enforces data governance practices, including compliance with data privacy, access controls, and lineage requirements, across the organization's data assets.
• Maintains a comprehensive data catalog and governance tools, automating workflows to uphold data integrity and ensure discoverability across all domains.
• Leads the implementation and ongoing support of data mesh architecture, ensuring seamless integration and data flow across multiple domains.
• Ensures the availability and reliability of the organization's Data Mesh software, managing operations and maintenance of the framework.
• Provides guidance and leadership on the cultural adoption of data mesh principles, including organizational training initiatives for data stewards and users.
• Communicates effectively with stakeholders to align technical data architecture with business goals, ensuring long-term support for analytics, insights, and innovation.
• Experience working in an Agile organization using Scrum, Kanban, Jira, Confluence, and SAFe.
• Provide team specific training as needed.

Requirements:

• Education : A bachelor's or master's degree in computer science, Information Systems, Data Engineering, or a related technical field, preferred.
• Experience in Data Architecture : Minimum of eight (8) years of experience designing and implementing data architectures, including large-scale data environments such as data lakes, data warehouses, and data mesh frameworks.
• Experience with Cloud Platforms : Minimum of five (5) years of experience working with cloud-based data platforms (e.g., AWS, Azure, Google Cloud), particularly for data storage, processing, and analytics.
• Leadership and Team Management : Demonstrated two (2) years of experience leading and mentoring data engineering teams, fostering collaboration, and ensuring successful project execution.
• Must be a US citizen to meet contract requirements and successfully complete a government issued background investigation.
• Must have an active Secret clearance .
• Ability to travel if necessary.

We invest in the lives of our employees, both in and out of the workplace, by providing competitive pay and benefits packages. Benefits offered may include health care, dental, vision, life insurance; 401(k); education assistance; paid time off including PTO, holidays, and any other paid leave required by law.

EEO Statement

ASRC Federal and its Subsidiaries are Equal Opportunity employers. All qualified applicants will receive consideration for employment without regard to race, gender, color, age, sexual orientation, gender identification, national origin, religion, marital status, ancestry, citizenship, disability, protected veteran status, or any other factor prohibited by applicable law.