Everforth ECS is seeking a Lead Databricks 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
Preferred Qualifications- 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 and federal platforms (e.g., knowledge of GovCloud, FISMA, etc.)
- Familiarity with CI/CD.
- At least one Databricks certification (Associate or Professional Data Engineer certifications preferred)
Skills Required
- Must be a US Citizen
- Ability to successfully maintain a DHS Entry on Duty (EOD)/Public Trust
- Minimum 7 years hands-on experience architecting, designing, and data engineering with Databricks and AWS in a government setting
- Strong experience with Apache Spark, Lakehouse architectures, Delta Lake, Delta Sharing, and Medallion Architecture
- Experience with data and AI governance and use case acceleration
- Working knowledge and hands-on experience with AWS and Azure cloud-native data services (S3, Lambda, Glue)
- Experience with Unity Catalog and MLflow within Databricks
- Experience integrating Databricks with other analytics platforms and metadata solutions
- Demonstrated experience leveraging data for search, enrichment, correlation, and AI/ML model training aligned to government missions
- 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 and platforms (knowledge of GovCloud, FISMA)
- Familiarity with CI/CD processes
- Experience with agentic AI tools such as Databricks' Genie and Agent Bricks
- At least one Databricks certification (Associate or Professional Data Engineer preferred)
ECS Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ECS and has not been reviewed or approved by ECS.
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Healthcare Strength — ECS advertises multiple national-network medical plan options with HSA eligibility alongside dental and vision coverage. Coverage generally begins quickly and is paired with company-paid short- and long-term disability, adding stability to the health package.
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Retirement Support — A 401(k) with Safe Harbor and immediate vesting on employer contributions is emphasized, with an employer match available. Access to an employee stock purchase plan via the parent company provides an additional savings avenue.
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Parental & Family Support — Paid parental leave up to 30 days, adoption assistance, and other family-oriented leaves are highlighted. Feedback suggests these offerings add meaningful value beyond base pay for many roles.
ECS Insights
What We Do
ECS, a segment of ASGN (NYSE: ASGN), delivers advanced solutions and services in cloud, cybersecurity, artificial intelligence (AI), machine learning (ML), application and IT modernization, and science and engineering. The company solves critical, complex challenges for customers across the U.S. public sector, defense, intelligence and commercial industries. ECS maintains partnerships with leading cloud, cybersecurity, and AI/ML providers and holds specialized certifications in their technologies. Headquartered in Fairfax, Virginia, ECS has more than 3,400 employees throughout the U.S. and has been recognized as a Top Workplace by The Washington Post for the last five years.
