Data Layer Engineer
- Full-time
- Clearance Requirement: Top Secret/SCI
Company Description
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Job Description
**This position is contingent upon contract award**
- Design and manage a modular data layer architecture that supports scalable ingestion, transformation, and serving of geospatial and structured data across containerized environments.
- Develop and optimize ETL pipelines for real-time and batch processing of mission-relevant data, ensuring integration with both ESRI and third-party analytic services.
- Implement metadata management solutions—such as tagging, schema validation, and indexing—to improve lineage tracking and facilitate governance alignment with IL4/IL5 controls.
- Manage data access enforcement mechanisms, including RBAC policies and encryption controls, consistent with NIST 800-53 Rev. 5, FedRAMP, and DoD cybersecurity mandates.
- Submit the Data Layer Integration & Optimization Report, detailing Kubernetes performance benchmarks related to data lake interaction, data lifecycle strategies for containerized environments, and cloud resource optimization recommendations.
Qualifications
- Active TS-SCI Clearance.
- Bachelor's degree in Data Management, Information Science, Computer Science, or a related field, or
- five (5) years of equivalent experience in data governance.
- Demonstrated experience in developing and managing data governance frameworks, implementing metadata and data cataloging solutions, and ensuring compliance with DoD and IC data security policies.
- Experience with tools such as such as Databricks Unity Catalog, Collibra, Alation, AWS Glue, or Azure Purview is required.
- Possess the knowledge and capability to design, implement, and optimize data transformation workflows for geospatial and non-geospatial datasets. Personnel must be proficient in ETL (Extract, Transform, Load) processes, data structuring, and schema management, with expertise in ESRI geospatial data layers, ArcGIS Enterprise, and cloud-based geospatial services.
- Strong understanding of databases (PostgreSQL/PostGIS, SQL Server, NoSQL), cloud storage solutions (AWS S3, Azure Blob, Google Cloud Storage), and Kubernetes-hosted geospatial applications is required.
Preferred Qualifications:
- Desirable but not required certifications include Certified Data Management Professional (CDMP), DAMA Certified Data Governance Professional (DGSP), or Microsoft Certified: Azure Data Engineer Associate.
Additional Information
Work Environment
- Normal office environment.
Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.