Senior Spatial Data Warehousing Specialist

Job Description:

 Position Overview
We 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 QUEVERA:

Quevera 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 Benefits:

Medical/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     

Retirement:

Quevera will match up to 6% towards your 401K and an additional 4% profit sharing

Key Responsibilities
Design, develop, and maintain spatial data warehouses and data lakes that integrate geospatial and non-geospatial datasets for enterprise analytics and reporting
Leverage ArcGIS Enterprise, ArcGIS Online, and ArcGIS Pro to geospatially enable warehouse data and provide web-based mapping services and analytical capabilities
Create data pipelines and ETL/ELT processes to ingest, transform, and consolidate data from multiple sources into centralized spatial data repositories
Implement spatial indexing, partitioning, and performance tuning strategies for efficient query execution and map rendering
Enable integration between data warehouses and BI tools (e.g., Power BI, Tableau, ArcGIS Dashboards) to support self-service analytics and interactive geospatial reporting
Develop prototypes, proof-of-concept visualizations, and dashboards to demonstrate warehouse capabilities to stakeholders and inform decision-making
Apply modern data stack approaches (e.g., cloud-based architectures, API-driven integrations, and scalable pipelines) to improve efficiency and maintainability
Collaborate with project managers, data engineers, and GIS analysts to ensure alignment of data models and project goals
Establish and document data governance practices, metadata management, and security controls for spatial and non-spatial data in the warehouse
Stay current with advancements in geospatial warehousing, cloud data technologies, and modern BI capabilities to continuously enhance system performance and user experience 

Required Qualifications
Bachelor's degree in Geographic Information Systems (GIS), Data Engineering, Computer Science, or related technical discipline
Minimum of five years of experience building and managing data warehouses and/or data lakes with significant focus on geospatial data integration
Proficiency with ArcGIS platforms including ArcGIS Enterprise, ArcGIS Pro, and ArcGIS Online for data publishing and geospatial enablement
Experience 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 datasets
Familiarity with data visualization and BI tools such as ArcGIS Dashboards, Power BI, or Tableau for geospatial analytics and reporting
Knowledge of modern data architecture principles, including data lakes, APIs, and scalable cloud pipelines
Excellent analytical, problem-solving, and documentation skills, with the ability to communicate complex concepts to non-technical stakeholders 

Preferred Qualifications
Experience with hybrid cloud environments and integrating spatial data across on-premises and cloud platforms (Azure, AWS)
Knowledge of metadata standards (FGDC, ISO and federal data governance practices
Experience with Python, PowerShell, or similar scripting languages for automating warehouse operations and geoprocessing tasks
Certifications such as Esri Technical Certifications, Microsoft Certified: Azure Data Engineer, or AWS Data Analytics Specialty
Prior experience in federal or large-scale enterprise environments supporting spatial data initiatives 

Quevera 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. #LI-AA1