Data Architect
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.
Basic Qualifications
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 warehouses, data lakes, and analytics platforms.
Knowledge of relational, non-relational, and spatial database technologies.
Experience supporting geospatial data environments and integrating geospatial data with enterprise business systems.
Familiarity with cloud platforms and modern data architecture approaches in Azure, AWS, or hybrid environments.
Strong understanding of data security, privacy, access controls, and regulatory compliance requirements.
Experience supporting business intelligence, analytics, and reporting solutions.
Strong analytical, problem-solving, and strategic planning capabilities.
Excellent written, verbal, and presentation communication skills.
Ability to communicate complex technical concepts to executive leadership, technical teams, and non-technical stakeholders.
U.S. Citizen. Ability to obtain and maintain a DHS Suitability determination, Public Trust, Secret, or higher security clearance as required by the contract.
Preferred Qualifications
Experience supporting Department of Homeland Security (DHS), Cybersecurity and Infrastructure Security Agency (CISA), or other Federal Government geospatial programs.
Experience with Esri ArcGIS Enterprise, ArcGIS Online, ArcGIS Pro, ArcSDE, QGIS, or similar GIS platforms.
Experience designing and managing spatial databases using SQL Server, Oracle Spatial, PostgreSQL/PostGIS, or equivalent technologies.
Knowledge of Federal Geographic Data Committee (FGDC) standards, National Spatial Data Infrastructure (NSDI), and geospatial data-sharing frameworks.
Experience supporting cloud-based geospatial analytics and location intelligence solutions.
Familiarity with ETL/ELT tools, data integration platforms, and API-driven data exchange architectures.
Experience supporting big data, machine learning, artificial intelligence, or advanced analytics initiatives.
Knowledge of federal cybersecurity frameworks, including NIST RMF, FISMA, and Zero Trust principles.
Experience supporting mission-critical geospatial operations related to critical infrastructure, emergency management, public safety, or cybersecurity.
Relevant certifications such as Certified Data Management Professional (CDMP), AWS Certified Data Analytics, Azure Data Engineer Associate, Esri Technical Certification, PMP, GISP, or equivalent certifications.