Data Architect SME

Ready to take on your next career challenge
Join Leidos and become part of a high-impact initiative supporting a multidisciplinary team focused on delivering cutting-edge planning operational technical analytical and mission support capabilities. Were assembling a team of top-tier data professionals who are driven by curiosity innovation and a desire to make a meaningful impact.

The Leidos Defense Sector is seeking a highly qualified Data Architect SMEto support a multidisciplinary team dedicated to delivering innovative planning operational technical analytical and mission support capabilities in Tampa FL. Candidate must already possess a TS/SCI security clearance in order to be considered.

Note: This position is part of a future contract opportunity pending award announcement.

Key Responsibilities

• Serve as the senior technical authority for enterprise data architecture establishing data management strategies architectural standards governance policies and technical frameworks supporting Operations in the Information Environment (OIE) theater campaigns operational planning and enterprise decision-making.

• Design and maintain enterprise data architectures that integrate structured semi-structured and unstructured data from operational intelligence logistics personnel financial and external data sources into scalable secure and interoperable environments.

• Develop enterprise data models conceptual architectures logical data models metadata standards and data integration strategies supporting organizational modernization and digital transformation initiatives.

• Establish data governance frameworks addressing data quality stewardship ownership lifecycle management master data management (MDM) metadata management and compliance with organizational policies and Department of Defense guidance.

• Lead the design and implementation of enterprise data integration solutions that support interoperability across cloud on-premises hybrid and distributed computing environments.

• Develop architecture standards supporting data warehouses data lakes lake houses operational data stores and enterprise analytical environments.

• Define enterprise data exchange standards APIs messaging architectures and interoperability requirements supporting secure information sharing across Joint interagency coalition and partner organizations.

• Collaborate with software engineers data engineers system architects cybersecurity personnel intelligence analysts data scientists and operational planners to ensure enterprise data solutions support mission objectives and operational requirements.

• Evaluate enterprise data quality consistency completeness accessibility and security while recommending improvements to data management processes and technical architectures.

• Develop data architecture roadmaps that align organizational capabilities with emerging technologies cloud services artificial intelligence machine learning advanced analytics and enterprise modernization initiatives.

• Advise senior leadership on enterprise data strategy architecture investments technology modernization data governance and information management policies.

• Develop executive-level technical documentation architecture diagrams standards implementation plans and decision-support products communicating enterprise data strategies and technical recommendations.

• Mentor technical personnel and provide enterprise leadership on data architecture principles governance practices interoperability standards and emerging technologies.

Required Qualifications:

Education & Experience

• Minimum of 15 years of experience designing enterprise data architectures data integration solutions data governance programs or enterprise information management systems supporting Department of Defense Intelligence Community or large-scale enterprise environments.

• Bachelors degree in Computer Science Information Systems Data Science Software Engineering Systems Engineering Information Technology Computer Engineering or a related technical discipline. Additional experience may be substituted in lieu of degree.

• Demonstrated experience designing enterprise data models integration architectures and cloud-based data platforms.

• Experience establishing enterprise data governance metadata management and information management frameworks.

• Experience advising senior leadership on enterprise architecture digital transformation or data modernization initiatives.

Skills

• Expert knowledge of enterprise data architecture information management data governance and systems integration principles.

• Extensive experience designing relational dimensional graph document and NoSQL database architectures.

• Experience with enterprise cloud platforms including Microsoft Azure Amazon Web Services (AWS) Google Cloud Platform (GCP) or hybrid cloud architectures.

• Proficiency with enterprise data integration technologies ETL/ELT processes APIs messaging frameworks and data virtualization technologies.

• Experience with enterprise data platforms such as Microsoft Fabric Azure Synapse Databricks Snowflake Oracle SQL Server PostgreSQL or similar technologies.

• Strong understanding of metadata management master data management (MDM) data cataloging and enterprise information governance.

• Experience implementing security privacy and access control strategies supporting classified and sensitive data environments.

• Knowledge of enterprise architecture frameworks including TOGAF DoDAF FEAF or similar methodologies.

• Excellent analytical technical writing executive communication and leadership skills.

Preferred Qualifications

• Masters degree in Computer Science Information Systems Data Science Systems Engineering Software Engineering or a related technical discipline.

• TOGAF Certified Data Management Professional (CDMP) Microsoft Certified: Azure Solutions Architect Expert AWS Certified Solutions Architect or equivalent enterprise architecture certification.

• Experience supporting Geographic Combatant Commands Joint Staff Intelligence Community or Department of Defense enterprise modernization initiatives.

• Experience supporting Operations in the Information Environment (OIE) command and control systems operational planning environments or enterprise intelligence systems.

• Experience implementing artificial intelligence machine learning digital engineering or advanced analytics architectures.

• Experience with Palantir Foundry Advana Unified Data Library (UDL) Microsoft Fabric Databricks or other enterprise data ecosystems.

• Experience developing enterprise data strategies supporting digital transformation and large-scale organizational modernization.

Security Clearance:

• Active TS/SCI required

AMSOPP1

If youre looking for comfort keep scrolling. At Leidos we outthink outbuild and outpace the status quo because the mission demands it. Were not hiring followers. Were recruiting the ones who disrupt provoke and refuse to fail. Step 10 is ancient history. Were already at step 30 and moving faster than anyone else dares.

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job education experience knowledge skills and abilities as well as internal equity alignment with market data applicable bargaining agreement (if any) or other law.