Senior Data Architect
Akumen, Inc.
About the role
Introduction
Akumen, Inc. delivers mission-focused technology, data, and cybersecurity services that help federal clients modernize operations, improve decision-making, and achieve measurable outcomes. Our goal is to provide secure, scalable, and innovative service delivery that aligns technical execution with client mission priorities.
Overview
Akumen is seeking a Senior Data Architect to support a federal data and analytics program. This position provides senior-level leadership for enterprise data architecture, data management, and solution design efforts supporting cloud-based and advanced analytics environments. The role is responsible for evaluating current-state systems, defining future-state architecture, and ensuring data solutions are scalable, secure, and aligned with client mission objectives.
Key Responsibilities
- Lead enterprise data architecture, data modeling, and integration strategy for analytics, warehousing, and reporting environments.
- Evaluate existing systems and design target-state data solutions that improve interoperability, governance, and performance.
- Define and maintain architecture documentation, including data flows, standards, lineage, and interface specifications.
- Collaborate with business stakeholders, developers, and engineers to align technical solutions with mission and operational needs.
- Guide implementation of best practices for ETL/ELT, metadata management, data quality, and cloud data architecture.
Minimum Required Qualifications
- Bachelors degree in Computer Science, Information Systems, Engineering, or related field.
- Minimum of 10 years of professional experience in data architecture, data management, or solution architecture.
- Demonstrated expertise in enterprise data modeling, data integration, ETL/ELT, and architecture documentation.
- Experience designing and implementing cloud-based data solutions in enterprise environments.
- Certified Data Management Professional (CDMP-Associate) or equivalent DMBOK-aligned certification, plus a data modeling or data architecture certification.
Preferred Qualifications
- Advanced degree in Computer Science, Information Systems, Engineering, or related field.
- Experience supporting federal data modernization or large-scale analytics programs.
- Hands-on experience with Databricks, AWS, and enterprise data warehouse/lakehouse platforms.
- Strong knowledge of data governance, metadata, lineage, and master/reference data practices.
- Experience mentoring technical teams and leading architecture review sessions.
Clearance Requirement
Must possess an active Secret security clearance or higher, or have the ability to obtain and maintain a Secret clearance or higher in accordance with contract requirements.
Skills
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