Lead Data Architect

Guidehouse•McLean, PA

About The Position

Serve as the technical lead for enterprise data architecture supporting a Navy client’s modernization initiatives. Establish enterprise data architecture, data governance, and semantic modeling strategies across War Data Platform/Jupiter, Navy Data Platform (NDP), Maven Smart System (MSS), and Palantir Foundry environments. Lead the design and implementation of scalable data integration, ETL/ELT, and data lineage frameworks supporting logistics, supply chain, maintenance, readiness, personnel, and operational performance data. Define enterprise ontology models, authoritative data sources, master data management approaches, and metadata standards. Architect cross-domain data synchronization solutions supporting both NIPRNet and SIPRNet environments. Lead development of data governance policies, stewardship processes, KPI catalogs, and readiness metric frameworks. Collaborate with Government stakeholders to modernize legacy reporting processes and transition manual briefing products into automated, data-driven operational capabilities. Ensure data quality, traceability, security, and compliance across enterprise analytical platforms. Provide architectural leadership to Data Architects, Data Scientists, Data Analysts, and engineering teams. Support executive-level briefings, modernization roadmaps, and technical strategy development.

Requirements

Active and maintained Secret Federal or DoD security clearance.
Bachelor’s degree.
Seven or more years of relatable experience in enterprise data architecture, data management, or data engineering.

Nice To Haves

Experience supporting Navy logistics, maintenance, supply chain, or readiness programs.
Experience with War Data Platform/Jupiter, NDP, or MSS.
Knowledge of DoW data strategies, data mesh concepts, and ontology development.
Experience supporting classified environments and cross-domain architectures.
Familiarity with DRRS-N readiness metrics and operational reporting frameworks.
AWS, Azure, Snowflake, or comparable cloud platform experience.
Experience designing large-scale cloud and data platform architectures.
Experience developing enterprise data models, ontologies, metadata repositories, and governance frameworks.
Experience with Databricks, Palantir Foundry, SQL, Python, Qlik, and modern data integration technologies.
Experience architecting data solutions supporting predictive analytics and operational decision support.
Experience establishing data quality, lineage, and governance controls.
Experience supporting DoW, Navy, or federal enterprise modernization initiatives.
Ability to work with executive stakeholders and technical teams.

Responsibilities

Serve as the technical lead for enterprise data architecture supporting a Navy client’s modernization initiatives.
Establish enterprise data architecture, data governance, and semantic modeling strategies across War Data Platform/Jupiter, Navy Data Platform (NDP), Maven Smart System (MSS), and Palantir Foundry environments.
Lead design and implementation of scalable data integration, ETL/ELT, and data lineage frameworks for logistics, supply chain, maintenance, readiness, personnel, and operational performance data.
Define enterprise ontology models, authoritative data sources, master data management approaches, and metadata standards.
Architect cross-domain data synchronization solutions for NIPRNet and SIPRNet environments.
Lead development of data governance policies, stewardship processes, KPI catalogs, and readiness metric frameworks.
Collaborate with Government stakeholders to modernize legacy reporting and transition manual briefing products into automated, data-driven operational capabilities.
Ensure data quality, traceability, security, and compliance across enterprise analytical platforms.
Provide architectural leadership to Data Architects, Data Scientists, Data Analysts, and engineering teams.
Support executive-level briefings, modernization roadmaps, and technical strategy development.