Databricks Platform Engineer

Chenega Corporation

Atlanta, Northern (GA, KY)

Hybrid

USD 110,000 - 125,000

Full time

14 days+

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Benefits offered by this job

Medical

Dental

Vision

401k

Flexible Spending Account

Teleworking

Job summary

Chenega Corporation is seeking a Databricks Platform Engineer to support the CDC initiative. You will architect and deliver end-to-end cloud analytics, manage Databricks workspaces, and ensure secure, scalable ML workloads. Teleworking is permitted, with preference for candidates in Atlanta, GA.

Join a collaborative team delivering AI-driven analytics, cost-efficient operations, and enterprise-grade governance across AWS/GCP/Azure environments.

Qualifications

Bachelor's degree required; strong analytical background.
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Responsibilities

Lead platform administration and governance with strong security controls.
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Skills

Databricks admin

Cost optimization

Cloud analytics

Autonomous AI agents

MCP servers

Databricks SQL

Education

Bachelor's degree

Tools

Lakeflow Designer

Lakeflow Pipelines

Lakeflow Jobs

Genie Code

Genie Agents

Unity Catalog

Azure/GCP/AWS

Job description

Summary

Position contingent on contract award - details below are subject to change based on final award.

Come join a company that strives for Extraordinary People and Exceptional Performance! Chenega Services & FederalSolutions, LLC, aChenega Professional Services’ company, is looking for a Databricks Platform Engineer to join our team supporting the Centers for Disease Control and Prevention (CDC).

Our company offers employees the opportunity to join a team where there is a robust employee benefits program, management engagement, quality leadership, an atmosphere of teamwork, recognition for performance, and promotion opportunities. We actively strive to channel our highly engaged employee’s knowledge, critical thinking, innovative solutions for our clients.

Many of our jobs come with great benefits – Some offerings are dependent upon the role, work schedule, or location, and may include the following:

Responsibilities

In this position, you’ll drive the next generation of our analytics products by architecting and delivering end-to-end cloud analytics solutions. In a fully cloud-native environment, you’ll partner with product managers, data scientists, software engineers, ML engineers and business analysts to enable and support a platform that powers personalized experiences and operational efficiency. You’ll leverage automated model CI/CD, containerized deployments (Docker/Kubernetes), and real-time monitoring to ensure our ML systems are reliable, secure, and scalable.

You will be responsible for the design, implementation, and maintenance of the Databricks workspaces and its associated Azure infrastructure. You will manage and optimize data and machine learning workloads, ensuring a reliable, secure, and scalable platform for business analysts, data engineering and data science teams.

Lead the platform administration and governance framework, ensuring strong enterprise security controls.
Design and implement automated solutions that streamline Databricks account and workspace administration.
Collaborate with cross‑functional teams to understand business needs and convert them into AI‑driven and analytics‑driven platform capabilities.
Architect and integrate autonomous AI agents, Genie Agents, and Model Context Protocol (MCP) servers to securely connect language models with enterprise data.
Support and guide teams using Genie Code and Lakeflow Designer for natural‑language pipeline creation and automated data engineering workflows.
Mentor junior engineers and provide technical leadership in Databricks best practices, governance, and platform engineering.
Conduct detailed cost and performance analysis across compute resources, storage layers, and data assets within the Databricks platform.
Stay current with advancements in Databricks SQL, ML, and AI, integrating new capabilities into the platform where beneficial.
Engage in knowledge sharing and contribute to building a collaborative engineering culture.
Other duties as assigned

Qualifications

5+ years of hands‑on experience with Databricks account and workspace administration (governance, configuration, and security)
ExperienceoptimizingDatabricks environments for cost efficiency, reliability, and performance
Experience developing and maintaining pipelines using Lakeflow Designer, Lakeflow Pipelines, and Lakeflow Jobs
Experience configuring and using Genie Code and Genie Agents to accelerate data engineering and analytical workflows
Experience designing and deploying autonomous AI agents and managing Model Context Protocol (MCP) servers
Experience with Databricks SQL tools, including Queries and AI/BI Dashboards
Experience working with large datasets and distributed computing across AWS and GCP
Knowledge of Unity Catalog governance architecture and enterprise data‑security best practices
Ability to explain complex concepts clearly to both technical and non‑technical audiences
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination
Bachelor’s degree

Preferred Qualifications