{"schemaVersion":"jobsearcher.job.v1","id":"3f45350e03765c6bb1fa9eaf","url":"https://jobsearcher.com/jobs/3f45350e03765c6bb1fa9eaf","canonicalUrl":"https://jobsearcher.com/jobs/3f45350e03765c6bb1fa9eaf","title":"Data Engineering Technical Lead","description":"The Technical Lead will drive the migration of our Microsoft-based data platforms (on-premise and Azure) to Databricks, providing hands-on mentorship and technical oversight for the data engineering team.Please note: This is a pure technical leadership role, focused on architecture and execution rather than project management or Scrum facilitation.The focus is on:Technical directionEngineering qualityDelivery executionRemoving technical blockersEnsuring consistency and scalability across teamsThe Technical Lead will act as the bridge between architecture, engineering teams, and delivery, while remaining capable of hands-on contribution when needed.Key ResponsibilitiesTechnical Leadership & CoordinationAct as the technical reference point for data engineers during migration and transformation activitiesBreak down high-level migration objectives into clear technical tasks and implementation approachesEnsure alignment to target architecture and standards (Databricks, cloud-native patterns)Review designs, pipelines, and implementations to ensure quality and consistencyActively remove technical blockers for the engineering teams Migration & Transformation ExecutionLead the migration of data pipelines from:o SQL Server / SSIS (on-prem)o Azure Synapseo Azure SQL / SQL Managed Instances→ into Databricks (Lakehouse architecture)Define and enforce best practices for:o Data ingestiono Transformation patternso Performance optimizationo Cost awarenessSupport coexistence scenarios during the transition phase Hands-on Engineering (as needed)Contribute directly to development when required:Databricks notebooks (PySpark / SQL)Ingestion pipelinesRefactoring legacy logicBuild reference implementations and examples for the teamSupport troubleshooting and performance tuning Team EnablementMentor data engineers and help upskill them towards Databricks and modern data engineering practicesFacilitate technical discussions, refinement sessions, and solution reviewsEnsure development stays on track, even across multiple parallel workstreamsWhat This Role Is NOT Not a Project Manager Not a Scrum Master Not a pure Architect Not 100% hands-on developerIt is a delivery-focused technical leadership role.Required Technical SkillsCore Platform KnowledgeStrong experience in Data EngineeringProven experience leading engineers in complex data environmentsHands-on experience with:Databricks (mandatory)PySpark & Spark SQLLakehouse concepts (Bronze / Silver / Gold)Microsoft & Azure Background (must-have due to migration context)Solid experience with:SQL ServerAzure SQL / SQL Managed InstancesAzure SynapseAbility to translate legacy ETL logic into modern Spark-based pipelinesCloud & Engineering PracticesExperience with Azure cloud environmentsUnderstanding of:CI/CD for data pipelinesGit-based developmentInfrastructure-as-code concepts (nice to have)Strong SQL skillsPerformance tuning and troubleshooting experienceQualificationsBachelor’s or Master’s degree in Computer Science, or a strictly related technical discipline.7-10 years of specialized experience in Data Engineering.Preferred background in the Retail sector, with an understanding of industry-specific data challenges.Technical LeadershipLead the DE Team/Owning the DE tasks (Design, build, maintain entire pipelines)Data quality/Integrity/availability across the system","company":"Texplorers","rawCompany":"texplorers","city":"Dallas","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-25T11:10:31.528Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineering Technical Lead","description":"The Technical Lead will drive the migration of our Microsoft-based data platforms (on-premise and Azure) to Databricks, providing hands-on mentorship and technical oversight for the data engineering team.Please note: This is a pure technical leadership role, focused on architecture and execution rather than project management or Scrum facilitation.The focus is on:Technical directionEngineering qualityDelivery executionRemoving technical blockersEnsuring consistency and scalability across teamsThe Technical Lead will act as the bridge between architecture, engineering teams, and delivery, while remaining capable of hands-on contribution when needed.Key ResponsibilitiesTechnical Leadership & CoordinationAct as the technical reference point for data engineers during migration and transformation activitiesBreak down high-level migration objectives into clear technical tasks and implementation approachesEnsure alignment to target architecture and standards (Databricks, cloud-native patterns)Review designs, pipelines, and implementations to ensure quality and consistencyActively remove technical blockers for the engineering teams Migration & Transformation ExecutionLead the migration of data pipelines from:o SQL Server / SSIS (on-prem)o Azure Synapseo Azure SQL / SQL Managed Instances→ into Databricks (Lakehouse architecture)Define and enforce best practices for:o Data ingestiono Transformation patternso Performance optimizationo Cost awarenessSupport coexistence scenarios during the transition phase Hands-on Engineering (as needed)Contribute directly to development when required:Databricks notebooks (PySpark / SQL)Ingestion pipelinesRefactoring legacy logicBuild reference implementations and examples for the teamSupport troubleshooting and performance tuning Team EnablementMentor data engineers and help upskill them towards Databricks and modern data engineering practicesFacilitate technical discussions, refinement sessions, and solution reviewsEnsure development stays on track, even across multiple parallel workstreamsWhat This Role Is NOT Not a Project Manager Not a Scrum Master Not a pure Architect Not 100% hands-on developerIt is a delivery-focused technical leadership role.Required Technical SkillsCore Platform KnowledgeStrong experience in Data EngineeringProven experience leading engineers in complex data environmentsHands-on experience with:Databricks (mandatory)PySpark & Spark SQLLakehouse concepts (Bronze / Silver / Gold)Microsoft & Azure Background (must-have due to migration context)Solid experience with:SQL ServerAzure SQL / SQL Managed InstancesAzure SynapseAbility to translate legacy ETL logic into modern Spark-based pipelinesCloud & Engineering PracticesExperience with Azure cloud environmentsUnderstanding of:CI/CD for data pipelinesGit-based developmentInfrastructure-as-code concepts (nice to have)Strong SQL skillsPerformance tuning and troubleshooting experienceQualificationsBachelor’s or Master’s degree in Computer Science, or a strictly related technical discipline.7-10 years of specialized experience in Data Engineering.Preferred background in the Retail sector, with an understanding of industry-specific data challenges.Technical LeadershipLead the DE Team/Owning the DE tasks (Design, build, maintain entire pipelines)Data quality/Integrity/availability across the 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