Job Requirements
Remote
Public Trust Polygraph not specified
Senior Level Career (10+ yrs experience)
Salary not specified
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Job Description
Databricks Solutions Architect (Remote) - DHS Public Trust Eligible
Location: 100% Remote (U.S.)
Employment Type: 6-Month Contract-to-Hire
Clearance Requirement: DHS Public Trust Eligible (U.S. Citizenship Required)
Core Hours: 9:00 AM - 5:00 PM EST
Target Conversion Salary: Approximately $200,000 Annually
Overview
ECS Federal is seeking a Databricks Solutions Architect to lead the design, implementation, and long-term operation of Databricks within a complex federal enterprise environment. This individual will serve as a technical leader responsible for establishing architectural standards, driving platform adoption, and helping federal customers modernize their data ecosystems.
The ideal candidate brings deep expertise in Databricks, AWS, enterprise data architecture, and cloud-native data platforms. This role will play a critical part in enabling advanced analytics, AI/ML workloads, and enterprise-wide data modernization initiatives.
Responsibilities
Lead the architecture, implementation, and long-term operation of Databricks on AWS within a large enterprise environment.
Design and productionize scalable, secure Databricks-based solutions for federal customers.
Develop enterprise data architecture strategies that unify data capabilities and eliminate organizational data silos.
Design and implement modern lakehouse, warehouse, and unified data platform solutions.
Integrate Databricks with analytics platforms, metadata solutions, and enterprise data systems.
Establish architectural standards, governance frameworks, best practices, and operating procedures.
Serve as a trusted technical advisor to stakeholders and customer leadership.
Guide customers through Databricks onboarding, adoption, and platform governance.
Develop reference architectures, implementation playbooks, and technical documentation.
Support AI/ML, advanced analytics, and data engineering initiatives using Databricks.
Collaborate with cross-functional Agile teams to deliver enterprise data solutions.
Continuously evaluate and improve platform performance, scalability, governance, and cost optimization.
Required Qualifications
U.S. Citizenship with the ability to obtain and maintain a DHS Public Trust/EOD.
Minimum 7 years of hands-on experience architecting, designing, and implementing Databricks solutions within AWS environments supporting government customers.
Extensive experience building and operating enterprise-scale data and analytics platforms.
Strong expertise with:
Apache Spark
Delta Lake
Lakehouse Architecture
Delta Sharing
Medallion Architecture
Data & AI Governance
Hands-on experience with Unity Catalog and MLflow.
Strong Python development skills.
Experience utilizing AWS services such as S3, Lambda, Glue, and other cloud-native data technologies.
Working knowledge of Azure data and analytics services.
Experience integrating Databricks with enterprise analytics and metadata platforms.
Experience supporting federal customers and compliance requirements such as FISMA and GovCloud environments.
Experience working within Agile delivery environments.
Familiarity with CI/CD practices for data and analytics workloads.
At least one Databricks certification preferred.
Preferred Qualifications
Prior experience supporting DHS programs or environments.
Experience with the DHS Systems Engineering Lifecycle (SELC).
AWS Solutions Architect Associate or Professional Certification.
Azure certifications such as DP-203 or AZ-204.
Familiarity with data mesh concepts and enterprise data modernization initiatives.
Experience with DataHub, Collibra, or similar metadata platforms.
Previous experience as a Databricks Resident Solutions Architect or Forward Deployed Engineer.
Experience supporting AI/ML solutions and modern data platforms at enterprise scale.
Work Environment
This is a 100% remote position. Candidates may work from anywhere within the United States but must be available during core collaboration hours of 9:00 AM - 5:00 PM Eastern Time. No travel is required.
Why Join?
Lead enterprise-wide Databricks architecture initiatives supporting federal customers.
Influence the strategy and evolution of a large-scale data platform.
Work with cutting-edge technologies including Databricks, AWS, AI/ML, and modern Lakehouse architectures.
High-visibility role with significant ownership and leadership responsibilities.
Strong contract-to-hire opportunity with a targeted conversion salary of approximately $200,000 annually.
Location: 100% Remote (U.S.)
Employment Type: 6-Month Contract-to-Hire
Clearance Requirement: DHS Public Trust Eligible (U.S. Citizenship Required)
Core Hours: 9:00 AM - 5:00 PM EST
Target Conversion Salary: Approximately $200,000 Annually
Overview
ECS Federal is seeking a Databricks Solutions Architect to lead the design, implementation, and long-term operation of Databricks within a complex federal enterprise environment. This individual will serve as a technical leader responsible for establishing architectural standards, driving platform adoption, and helping federal customers modernize their data ecosystems.
The ideal candidate brings deep expertise in Databricks, AWS, enterprise data architecture, and cloud-native data platforms. This role will play a critical part in enabling advanced analytics, AI/ML workloads, and enterprise-wide data modernization initiatives.
Responsibilities
Lead the architecture, implementation, and long-term operation of Databricks on AWS within a large enterprise environment.
Design and productionize scalable, secure Databricks-based solutions for federal customers.
Develop enterprise data architecture strategies that unify data capabilities and eliminate organizational data silos.
Design and implement modern lakehouse, warehouse, and unified data platform solutions.
Integrate Databricks with analytics platforms, metadata solutions, and enterprise data systems.
Establish architectural standards, governance frameworks, best practices, and operating procedures.
Serve as a trusted technical advisor to stakeholders and customer leadership.
Guide customers through Databricks onboarding, adoption, and platform governance.
Develop reference architectures, implementation playbooks, and technical documentation.
Support AI/ML, advanced analytics, and data engineering initiatives using Databricks.
Collaborate with cross-functional Agile teams to deliver enterprise data solutions.
Continuously evaluate and improve platform performance, scalability, governance, and cost optimization.
Required Qualifications
U.S. Citizenship with the ability to obtain and maintain a DHS Public Trust/EOD.
Minimum 7 years of hands-on experience architecting, designing, and implementing Databricks solutions within AWS environments supporting government customers.
Extensive experience building and operating enterprise-scale data and analytics platforms.
Strong expertise with:
Apache Spark
Delta Lake
Lakehouse Architecture
Delta Sharing
Medallion Architecture
Data & AI Governance
Hands-on experience with Unity Catalog and MLflow.
Strong Python development skills.
Experience utilizing AWS services such as S3, Lambda, Glue, and other cloud-native data technologies.
Working knowledge of Azure data and analytics services.
Experience integrating Databricks with enterprise analytics and metadata platforms.
Experience supporting federal customers and compliance requirements such as FISMA and GovCloud environments.
Experience working within Agile delivery environments.
Familiarity with CI/CD practices for data and analytics workloads.
At least one Databricks certification preferred.
Preferred Qualifications
Prior experience supporting DHS programs or environments.
Experience with the DHS Systems Engineering Lifecycle (SELC).
AWS Solutions Architect Associate or Professional Certification.
Azure certifications such as DP-203 or AZ-204.
Familiarity with data mesh concepts and enterprise data modernization initiatives.
Experience with DataHub, Collibra, or similar metadata platforms.
Previous experience as a Databricks Resident Solutions Architect or Forward Deployed Engineer.
Experience supporting AI/ML solutions and modern data platforms at enterprise scale.
Work Environment
This is a 100% remote position. Candidates may work from anywhere within the United States but must be available during core collaboration hours of 9:00 AM - 5:00 PM Eastern Time. No travel is required.
Why Join?
Lead enterprise-wide Databricks architecture initiatives supporting federal customers.
Influence the strategy and evolution of a large-scale data platform.
Work with cutting-edge technologies including Databricks, AWS, AI/ML, and modern Lakehouse architectures.
High-visibility role with significant ownership and leadership responsibilities.
Strong contract-to-hire opportunity with a targeted conversion salary of approximately $200,000 annually.
group id: 10105424
