Job description

Databricks Platform Technical Lead Remote Blu Omega is seeking a Databricks Platform Technical Lead to support the enterprise data platform architecture and modernization efforts. This role is responsible for leading platform engineering, architecture, governance, and roadmap ownership within supported federal programs. Program Overview Blu Omega partners with federal agencies to deliver innovative data and cybersecurity solutions that support critical government missions. Key Details Location: Remote (with a strong preference for candidates located in Atlanta, GA or Washington, DC Metro area) Clearance / Suitability: Public Trust eligibility required Responsibilities • Lead the architecture, engineering, and operation of scalable, highly available enterprise data platforms and core platform services. • Provide technical leadership to the Data Platform Engineering team, establish priorities, review designs, mentor engineers, and ensure delivery against commitments. • Define and govern enterprise data platform architecture, engineering standards, technical patterns, and long-term platform roadmaps. • Architect and oversee complex ETL/ELT pipelines, data movement, orchestration, data integration, and governance capabilities. • Administer and optimize enterprise Databricks environments, including account and workspace configuration, Unity Catalog, compute and cluster policies, access controls, security, performance, and cost management. • Design and maintain automated Databricks platform administration and governance capabilities supporting secure, scalable enterprise adoption. • Build and oversee data engineering workflows using Databricks tools such as Lakeflow Designer, Lakeflow Pipelines, and Lakeflow Jobs. • Design cloud modernization strategies that migrate legacy applications and data workloads onto modern Azure and Databricks architectures. • Architect applications and analytical solutions leveraging enterprise data platforms and shared data services. • Evaluate platform architectures, emerging technologies, and alternative technical approaches to improve scalability, reliability, and performance. • Design and integrate emerging AI capabilities including autonomous agents, Genie, and MCP-enabled tools and services. • Leverage Databricks SQL, Queries, AI/BI Dashboards, and Genie capabilities to support enterprise analytics and data consumption. • Collaborate with solutions, customer success, engineering, and business teams to troubleshoot technical issues, monitor platform health, optimize costs, and align capabilities with strategic goals. • Oversee supporting analytical platforms, including SAS Viya and other enterprise data science environments. Required Qualifications • 10+ years of experience designing and delivering enterprise data platforms or large-scale data engineering solutions. • 5+ years of experience defining enterprise data architecture, standards, and roadmaps. • 5+ years hands-on experience building and managing complex ETL/ELT pipelines, data orchestration, and governance. • Deep expertise administering enterprise Databricks environments, including account and workspace configuration, Unity Catalog, compute policies, security, and performance tuning. • 5+ years managing Databricks platform governance, security, and administration at scale. • Proven experience designing and implementing automated Databricks administration and governance. • Experience with Lakeflow Designer, Lakeflow Pipelines, Lakeflow Jobs, or similar Databricks orchestration tools. • Proficiency with Databricks SQL, AI/BI dashboards, Genie Code, and Genie Agents. • Strong knowledge of Azure cloud services, including Data Factory, ADLS, Azure Databricks, Synapse, Power BI, Key Vault, Azure DevOps, Azure AD, and Azure Monitor. • Experience with cloud architecture, security, observability, performance optimization, resilience, and cost management. • Ability to lead engineering teams, review architecture/designs, and mentor staff. • Bachelor’s degree in computer science, engineering, or related field. • Must be a U.S. Citizen or Lawful Permanent Resident (Green Card). Preferred Qualifications • Experience administering SAS Viya and Posit products, including deployment and user management. • Relevant Databricks certifications, including Databricks Certified Generative AI Engineer or related AI industry certifications. • Experience supporting federal, healthcare, or regulated enterprise data environments. • Master’s degree in related fields. Compensation Salary Range: $160,000.00 - $170,000.00 Final compensation is based on technical skills, experience, education, certifications, and clearance. #LI-Remote #CJ

Requirements

Must-haves

Databricks Platform Technical Lead
Program Overview
Blu Omega partners with federal agencies to deliver innovative data and cybersecurity solutions that support critical government missions.
Location: Remote (with a strong preference for candidates located in Atlanta, GA or Washington, DC Metro area)
Clearance / Suitability: Public Trust eligibility required
Lead the architecture, engineering, and operation of scalable, highly available enterprise data platforms and core platform services.
Provide technical leadership to the Data Platform Engineering team, establish priorities, review designs, mentor engineers, and ensure delivery against commitments.
Define and govern enterprise data platform architecture, engineering standards, technical patterns, and long-term platform roadmaps.
Architect and oversee complex ETL/ELT pipelines, data movement, orchestration, data integration, and governance capabilities.
Administer and optimize enterprise Databricks environments, including account and workspace configuration, Unity Catalog, compute and cluster policies, access controls, security, performance, and cost management.
Design and maintain automated Databricks platform administration and governance capabilities supporting secure, scalable enterprise adoption.
Build and oversee data engineering workflows using Databricks tools such as Lakeflow Designer, Lakeflow Pipelines, and Lakeflow Jobs.
Design cloud modernization strategies that migrate legacy applications and data workloads onto modern Azure and Databricks architectures.
Architect applications and analytical solutions leveraging enterprise data platforms and shared data services.
Evaluate platform architectures, emerging technologies, and alternative technical approaches to improve scalability, reliability, and performance.
Design and integrate emerging AI capabilities including autonomous agents, Genie, and MCP-enabled tools and services.
Leverage Databricks SQL, Queries, AI/BI Dashboards, and Genie capabilities to support enterprise analytics and data consumption.
Collaborate with solutions, customer success, engineering, and business teams to troubleshoot technical issues, monitor platform health, optimize costs, and align capabilities with strategic goals.
Oversee supporting analytical platforms, including SAS Viya and other enterprise data science environments.
10+ years of experience designing and delivering enterprise data platforms or large-scale data engineering solutions.

Nice-to-haves

Experience administering SAS Viya and Posit products, including deployment and user management.
Relevant Databricks certifications, including Databricks Certified Generative AI Engineer or related AI industry certifications.
Experience supporting federal, healthcare, or regulated enterprise data environments.
Master’s degree in related fields.

Application prep

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Keywords to mirror

azureaisql

Platform: bullhorn
Effort: medium