About
The Lead Data Engineer / Data Architect will spearhead the creation of our next-generation "Analytics Core" within a closed, classified, on-premises environment. This mission-critical project will unify our 30-year legacy archive of diverse data—including reports, sensor data, imagery, and heavily geospatial intelligence—into a single, query-able, and AI-ready ecosystem. Because our historical data is highly complex with deep attribution challenges, this is a "roll-up-your-sleeves" role. We expect a balance of approximately 60% hands-on data engineering (ETL pipeline construction, data cleaning, and mapping) and 40% data architecture (strategic design and governance). As our management team upskills our dedicated in-house staff to execute the broader data migration, this role will act as the technical anchor. The Lead Data Engineer / Data Architect will build strong relationships, set clear technical standards, and seamlessly interface with transitioning staff to ensure the project's success. Responsibilities
ESSENTIAL • Data Architecture & Modeling o Design the foundational multidimensional data models for complex, multi-modal data. o Untangle 30 years of complex historical data to resolve attribution issues and establish a clean, authoritative data model. • Foundational Engineering o Act as the hands-on technical lead to build initial ETL/ELT pipelines using Python, SQL, and on-premises infrastructure. o Develop programmatic solutions to clean, parse, and ingest legacy unstructured and structured data. • Geospatial Integration o Given that nearly all database records contain coordinate data, lead the integration between our on-premises ESRI portal and the new Analytics Core. o Ensure spatial data seamlessly aligns with the multidimensional model. • AI/ML Data Preparation o Establish standards for feature engineering, ensuring the database architecture is optimized for future Artificial Intelligence and Machine Learning applications within a classified environment. • Governance & Compliance o Enforce data governance, metadata tagging, and access control protocols in strict alignment with the DoD Data Strategy and classified network handling requirements. • Cross-Functional Collaboration & Integration o While management will handle direct personnel training, you must establish effective working relationships and technical interfaces with our evolving internal team: § Software Engineers: Interface with engineers transitioning into data engineering. Provide clear technical specifications, architectural blueprints, and constructive code reviews as they take over building scalable ETL/ELT pipelines. § GIS Specialist: Collaborate closely to integrate their programmatic GIS outputs into the broader AI-ready database. Bridge the gap between standard data engineering and specialized geospatial analytics. § Junior Data Manager: Partner to operationalize data governance. Define data rules and interface with them as they manage the Data Dictionary, enforce quality control, and properly tag legacy metadata. § General: · Work independently and as a team member. · Lead and mentor less experienced employees. · Ensures work given and completed is within compliance with processes, standards and policies of the organization. · Lead projects within department or job functions. · Lead individual contributors to ensure the work completion is as per set standards and procedures. Qualifications
REQUIRED • Bachelor's Degree in Computer Science, Engineering, Information Systems or a related technical field. Equivalent work experience may be considered in lieu of a degree. • Must have 5-9 years of real-world experience in data management (preferably in support of federal government programs). o Policy development o Organizational goals for handling and using data o Having led a data analysis team o Ability to query a database • Advanced proficiency in Python and SQL. • Proven hands-on experience building ETL/ELT pipelines and designing databases to clean and structure complex, messy legacy data. • Experience with on-premises infrastructure is required. • At minimum, stellar core engineering skills paired with a solid working knowledge of GIS data structures. • Demonstrated understanding of the DoD Data Strategy. • Proven ability to act as a technical anchor, interface with cross-functional teams, and establish standards for adjacent staff. • Ability to obtain and maintain Security+ Certification. • Active DoD Security Clearance is required. • Must have or be able to obtain and maintain a TS security clearance, be able to take/pass a polygraph, and be able to maintain both for the tenure of this position. • Position tenure ship is dependent on completing the full security clearance application process successfully within 1-2 years of accepting position. • Must be a U.S. Citizen. DESIRED • Active TS/SCI security clearance is strongly preferred. • Hands-on experience with geospatial data (coordinates, spatial querying) and integration with ESRI portals is strongly preferred. • Experience architecting and engineering data solutions on classified systems (SIPR/JWICS) is highly desirable. The salary range for this position is $118,600 - $177,800 Job Info
Job Identification 10852 Job Category IT Job Schedule Full time
Languages
- English
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