Lead Databricks Solutions Architect

ecsfederal; Virginia (MN); Hybrid; USD 200,000 - 230,000; Full time

Job summary

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

The ideal candidate has strong Databricks/AWS experience, can architect at scale, and integrate with existing data platforms. DHS-level security and enterprise governance are involved.

Qualifications

• 7+ years of hands-on experience architecting, designing, data engineering with Databricks and AWS in a government setting.
• Strong understanding of Apache Spark, Lakehouse architectures, Delta Lake, and data governance.
• Experience integrating Databricks with existing analytics platforms and metadata solutions.
• Familiarity with AWS and Azure cloud ecosystems and cloud-native data/ETL tools.

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.
• Unify organizational data capabilities to break down data silos and migrate data to a unified data plane/warehouse.
• Support integration of Databricks with existing analytics platforms and metadata solutions.
• Serve as technical advisor to stakeholders and upskill internal teams through guidance and documentation.
• Develop customer use case applications of Databricks and onboard federal customers.

Skills

Databricks

AWS

Python

Agile

Tools

Databricks

AWS

Azure

Unity Catalog

MLFlow

Delta Lake

Job description

Everforth ECS is seeking a LeadDatabricks Solutions Architect to work in our Arlington, VA office.

DESCRIPTION

Everforth ECS is seeking a Databricks Solutions Architect to support the design, implementation, and long-term operation of Databricks within a complex Government enterprise environment. This role will work closely with various stakeholders during initial implementation and will transition into owning architectural decisions, best practices, and platform evolution as Databricks is rolled out within the environment.

The ideal candidate will bring strong Databricks and AWS experience, familiarity with architecting solutions for scale and governance, and is comfortable integrating Databricks with other data platforms.

Key responsibilities include:

• 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 organizational data and operational silos, including mechanisms to standardize and migrate existing data to a unified data plane/warehouse
• Support the integration of Databricks with existing analytics platforms and metadata solutions
• Serve as a technical advisor to stakeholders and help upskill internal teams through guidance/documentation
• Assist and develop customer use case applications of Databricks
• Provide input on onboarding federal customers new to Databricks

Salary: $200,000 - $230,000

General Description of Benefits

• Must be a US Citizen
• Ability to successfully maintain a DHS Entry on Duty (EOD)/Public Trust
• Minimum 7 years of hands-on experience architecting, designing, data engineering with Databricks and AWS in a government setting.
• Strong understanding and experience in areas such as Apache Spark, Lakebase, Lakehouse architectures, Delta Lake, Delta Sharing, Medallion Architecture, Data & AI Governance, and use case acceleration.
• Working knowledge of both AWS and Azure ecosystems with demonstrated hands-on experience with cloud native data and ETL capabilities (S3, Lambdas, Glue, etc.)
• Experience with Unity Catalog and MLFlow within Databricks

• Experience with agentic AI tools such as Databricks' Genie and Agent Bricks

• Demonstrated experience leveraging data to provide search, enrichment, correlation, AI/ML Model Training, in alignment with government mission and business use cases
• Experience integrating Databricks with other analytics platforms.
• Prior consulting or customer-facing experience in data architecture or modernization initiatives.
• Strong Python skills.
• Experience in Agile environments and managing cross-functional technical delivery.
• Experience supporting federal customers ... ...? (maybe truncated)
• Familiarity ... (maybe missing?)
• At least one Databricks certification( ...?)