Lead Databricks Architect - AWS GovCloud Enterprise

ECS Corporate Services; Fairfax (VA); On-site; USD 200,000 - 230,000; Full time

Job summary

Everforth ECS in Arlington, VA is seeking a Databricks Solutions Architect to design, implement, and operate Databricks within a government enterprise environment. You will own architectural decisions, best practices, and platform evolution as Databricks is rolled out across the environment.

The ideal candidate has strong Databricks and AWS experience, familiarity with scale and governance, and can integrate Databricks with other data platforms while guiding stakeholders and upskilling teams.

Qualifications

• Minimum 7 years hands-on experience architecting, designing, data engineering with Databricks and AWS in a government setting.
• Strong Python skills.
• Experience with GovCloud and FISMA considerations.
• Experience in Agile environments and cross-functional technical delivery.
• Experience integrating Databricks with other analytics platforms.

Responsibilities

• Lead the architecture, implementation, and long-term operation of Databricks on AWS in an enterprise environment.
• Build and productionize solutions for federal customers using Databricks.
• Provide unification for organization and enterprise data capabilities to break down data silos.
• Support the integration of Databricks with existing analytics platforms and metadata solutions.
• Serve as a technical advisor and upskill internal teams through guidance and documentation.
• Develop customer use-case applications of Databricks.
• Assist and onboard federal customers new to Databricks.

Skills

Databricks

AWS

Python

Agile

GovCloud

Data governance

Cross-functional

Tools

Delta Lake

Unity Catalog

MLFlow

S3

Glue

Lambdas

Job description

Everforth ECS in Arlington, VA is seeking a Databricks Solutions Architect to design, implement, and operate Databricks within a government enterprise environment. You will own architectural decisions, best practices, and platform evolution as Databricks is rolled out across the environment.

The ideal candidate has strong Databricks and AWS experience, familiarity with scale and governance, and can integrate Databricks with other data platforms while guiding stakeholders and upskilling teams.