Senior Spatial Data Warehousing Specialist (ArcGIS)

Job DescriptionPosition OverviewWe are seeking a highly skilled Senior Spatial Data Warehousing Specialist with deep expertise in ArcGIS and modern data warehousing techniques to design, build, and manage enterprise-scale geospatial and alphanumeric data warehouses. This role focuses on integrating diverse data sources, enabling geospatial capabilities within data lakes and warehouses, and publishing these datasets for mapping, reporting, and advanced geospatial analytics. The specialist will work closely with cross-functional teams to develop efficient data pipelines, support business intelligence (BI) initiatives, and enable self-service data visualization using ArcGIS tools and modern BI platforms. The ideal candidate will have significant experience with both traditional and modern data architectures, cloud-based data services, and geospatial data modeling.Highlight's Of Working For QueveraQuevera employees voted Quevera as a TOP EMPLOYER in the Baltimore /DC area by the Washington for 2025 for the 5th consecutive year!Excellent Quevera's BenefitsMedical/Dental/Vision (100% Employer Paid Medical Plan)Short/Long Term Disability (Employer Paid)Life Insurance (Employer Paid)Yearly $5,000 towards education/training/certification.Employees are in control of their career path through our Career Pathway Program .Employer paid Company Vacation Package for you and a guest ! RetirementQuevera will match up to 6% towards your 401K and an additional 4% profit sharing!Key ResponsibilitiesDesign, develop, and maintain spatial data warehouses and data lakes that integrate geospatial and non-geospatial datasets for enterprise analytics and reportingLeverage ArcGIS Enterprise, ArcGIS Online, and ArcGIS Pro to geospatially enable warehouse data and provide web-based mapping services and analytical capabilitiesCreate data pipelines and ETL/ELT processes to ingest, transform, and consolidate data from multiple sources into centralized spatial data repositoriesImplement spatial indexing, partitioning, and performance tuning strategies for efficient query execution and map renderingEnable integration between data warehouses and BI tools (e.g., Power BI, Tableau, ArcGIS Dashboards) to support self-service analytics and interactive geospatial reportingDevelop prototypes, proof-of-concept visualizations, and dashboards to demonstrate warehouse capabilities to stakeholders and inform decision-makingApply modern data stack approaches (e.g., cloud-based architectures, API-driven integrations, and scalable pipelines) to improve efficiency and maintainabilityCollaborate with project managers, data engineers, and GIS analysts to ensure alignment of data models and project goalsEstablish and document data governance practices, metadata management, and security controls for spatial and non-spatial data in the warehouseStay current with advancements in geospatial warehousing, cloud data technologies, and modern BI capabilities to continuously enhance system performance and user experienceRequired QualificationsBachelor’s degree in Geographic Information Systems (GIS), Data Engineering, Computer Science, or related technical disciplineMinimum of five years of experience building and managing data warehouses and/or data lakes with significant focus on geospatial data integrationProficiency with ArcGIS platforms including ArcGIS Enterprise, ArcGIS Pro, and ArcGIS Online for data publishing and geospatial enablementExperience with relational and cloud-based database management systems such as SQL Server, PostgreSQL/ PostGIS , and cloud warehouses (e.g., Snowflake, Redshift, BigQuery )Strong skills in SQL and ETL/ELT processes for integrating and transforming large datasetsFamiliarity with data visualization and BI tools such as ArcGIS Dashboards, Power BI, or Tableau for geospatial analytics and reportingKnowledge of modern data architecture principles, including data lakes, APIs, and scalable cloud pipelinesExcellent analytical, problem-solving, and documentation skills, with the ability to communicate complex concepts to non-technical stakeholdersPreferred QualificationsExperience with hybrid cloud environments and integrating spatial data across on-premises and cloud platforms (Azure, AWS)Knowledge of metadata standards (FGDC, ISO 19115) and federal data governance practicesExperience with Python, PowerShell, or similar scripting languages for automating warehouse operations and geoprocessing tasksCertifications such as Esri Technical Certifications, Microsoft Certified: Azure Data Engineer, or AWS Data Analytics SpecialtyPrior experience in federal or large-scale enterprise environments supporting spatial data initiativesQuevera is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age or any other characteristic protected by law.