Job Requirements
Remote
Public Trust Polygraph not specified
Senior Level Career (10+ yrs experience)
Salary not specified
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Job Description
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
Bachelor’s 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 U.S. Citizenship and an active or previously held DHS public trust.
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
Bachelor’s 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 U.S. Citizenship and an active or previously held DHS public trust.
group id: 91164270