Navitas

25-6044: Data Layer Engineer - Doral, FL

Doral, FL
Full Time
Experienced
Data Layer Engineer

Job ID#: 25-6044

Clearance: Top Secret/ SCI

Location: Doral, FL

Who We Are:
Since our inception back in 2006, Navitas has grown to be an industry leader in the digital transformation space, and we’ve served as trusted advisors supporting our client base within the commercial, federal, and state and local markets.

What We Do:
At our very core, we’re a group of problem solvers providing our award-winning technology solutions to drive digital acceleration for our customers! With proven solutions, award-winning technologies, and a team of expert problem solvers, Navitas has consistently empowered customers to use technology as a competitive advantage and deliver cutting-edge transformative solutions.

What You’ll Do:
The Data Layer Engineer is responsible for designing, implementing, and optimizing data transformation workflows that support both geospatial and non‑geospatial datasets across enterprise environments. This role ensures that data is structured, governed, and delivered in a manner that supports mission‑critical analytics, geospatial applications, and cloud‑based services. The engineer will work with ESRI technologies, modern ETL frameworks, and cloud‑native architectures to maintain high‑quality, secure, and scalable data layers for Navitas and its government customers.

Responsibilities will include but are not limited to:
  • Design, build, and optimize ETL (Extract, Transform, Load) pipelines for geospatial and non‑geospatial datasets.
  • Develop and maintain data structures, schemas, and transformation workflows aligned with enterprise data standards.
  • Manage and publish ESRI geospatial data layers within ArcGIS Enterprise and cloud‑based geospatial platforms.
  • Integrate and manage datasets across PostgreSQL/PostGIS, SQL Server, NoSQL databases, and distributed storage systems.
  • Implement and maintain cloud storage solutions including AWS S3, Azure Blob Storage, and Google Cloud Storage.
  • Support Kubernetes‑hosted geospatial applications and ensure efficient data delivery to containerized services.
  • Develop and manage data governance frameworks that ensure data quality, lineage, and compliance.
  • Implement metadata management and data cataloging solutions to support enterprise discoverability and stewardship.
  • Ensure adherence to DoD and Intelligence Community (IC) data security, access control, and compliance requirements.
  • Utilize tools such as Databricks Unity Catalog, Collibra, Alation, AWS Glue, or Azure Purview to support governance and cataloging functions.

What You’ll Need:

  • Bachelor’s degree in Data Management, Information Science, Computer Science, or a related technical field; or a minimum of five (5) years of equivalent experience in data governance or data engineering.
  • Demonstrated experience designing and managing ETL workflows and data transformation pipelines.
  • Proficiency with ESRI geospatial data layers, ArcGIS Enterprise, and cloud‑based geospatial services.
  • Strong understanding of relational and non‑relational databases, including PostgreSQL/PostGIS, SQL Server, and NoSQL systems.
  • Experience with cloud storage platforms such as AWS S3, Azure Blob Storage, and Google Cloud Storage.
  • Experience developing and managing data governance frameworks and metadata/cataloging solutions.
  • Familiarity with DoD and IC data security policies and compliance requirements.
  • Hands‑on experience with Databricks Unity Catalog, Collibra, Alation, AWS Glue, or Azure Purview.
  • Ability to work in environments leveraging Kubernetes‑hosted geospatial applications.
  • Active TS/SCI
Set Yourself Apart With:
  • Professional certifications such as:
    • Certified Data Management Professional (CDMP)
    • DAMA Certified Data Governance Professional (DGSP)
    • Microsoft Certified: Azure Data Engineer Associate
  • Experience supporting federal or defense‑sector geospatial programs.
  • Knowledge of advanced geospatial analytics, spatial indexing, and performance optimization.
  • Experience with automation frameworks, CI/CD pipelines, or infrastructure‑as‑code for data workflows

Equal Employer/Veterans/Disabled

Navitas Business Consulting is an affirmative action and equal opportunity employer. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Navitas Human Resources.

Navitas is an equal opportunity employer. We provide employment and opportunities for advancement, compensation, training, and growth according to individual merit, without regard to race, color, religion, sex (including pregnancy), national origin, sexual orientation, gender identity or expression, marital status, age, genetic information, disability, veteran-status veteran or military status, or any other characteristic protected under applicable Federal, state, or local law. Our goal is for each staff member to have the opportunity to grow to the limits of their abilities and to achieve personal and organizational objectives. We will support positive programs for equal treatment of all staff and full utilization of all qualified employees at all levels within Navitas.

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