Data Architect

Electrosoft Services, LLC is an award-winning company that provides comprehensive technology-based solutions and services to federal customers. While cybersecurity is our specialty, we also focus on ICAM, Zero Trust, digital engineering and transformation, and enterprise AI and intelligent automation.

We always seek to delight our customers, so we retain highly qualified employees and offer them meaningful work, growth opportunities, and work-life balance. What sets us apart from all other contractors is the sense of teamwork our employees feel and the knowledge that outstanding effort is recognized and rewarded.

The camaraderie we share emanates from Lunch & Learn sessions where we explore new ideas together, fun group activities ranging from escape rooms to miniature golf, and much, much more. If we’ve described you and your dream workplace, please apply and share in the many benefits and opportunities we offer. Data Architect Responsibilities and Duties

• Serve as the lead Data Architect for enterprise geospatial data platforms, services, and analytics environments.
• Design and maintain enterprise data architectures that support geospatial operations, spatial analytics, and mission-critical decision-making.
• Develop data strategies, roadmaps, standards, and governance frameworks supporting organizational and customer objectives.
• Architect and oversee the integration of structured, unstructured, and geospatial data from multiple internal and external sources.
• Design conceptual, logical, and physical data models that support enterprise applications, reporting, analytics, and geospatial services.
• Lead data modernization initiatives, including migration of legacy data environments to cloud-based and hybrid architectures.
• Establish data management standards, metadata requirements, and data quality processes to ensure accuracy, integrity, and usability of enterprise data assets.
• Collaborate with GIS specialists, engineers, developers, analysts, and program stakeholders to define data requirements and technical solutions.
• Design and optimize data warehouses, data lakes, geospatial repositories, and enterprise reporting environments.
• Support the architecture and implementation of geospatial databases and spatially enabled data platforms.
• Ensure data architectures support interoperability, scalability, security, and compliance requirements.
• Develop and maintain data flow diagrams, data dictionaries, architecture artifacts, and technical documentation.
• Provide architectural guidance for data integration technologies, APIs, ETL/ELT processes, and data exchange solutions.
• Support advanced analytics, business intelligence, artificial intelligence (AI), and geospatial intelligence initiatives through effective data architecture design.
• Lead data governance and stewardship efforts to ensure consistency, accessibility, and lifecycle management of organizational data assets.
• Evaluate emerging technologies and recommend innovative approaches to improve data management, analytics, and geospatial capabilities.
• Support cybersecurity, privacy, and regulatory compliance initiatives affecting enterprise and geospatial data environments.
• Conduct technical reviews and provide recommendations regarding data architecture, performance optimization, and system enhancements.
• Develop executive briefings, technical reports, and strategic recommendations for leadership and customer stakeholders.
• Mentor technical teams and provide subject matter expertise on enterprise data architecture and geospatial data management best practices.

• Master’s degree in Computer Science, Information Systems, Data Science, Geospatial Science, Geographic Information Systems (GIS), Information Technology, Engineering, or a related discipline.
• Minimum of ten (10) years of experience supporting IT programs, systems, or enterprise data management initiatives.
• Demonstrated experience designing and implementing enterprise data architectures, data models, and data integration solutions.
• Experience supporting data governance, metadata management, data quality, and master data management initiatives.
• Experience designing and managing enterprise databases, data…