{"schemaVersion":"jobsearcher.job.v1","id":"3e04ef3b8f4007389bedbd5f","url":"https://jobsearcher.com/jobs/3e04ef3b8f4007389bedbd5f","canonicalUrl":"https://jobsearcher.com/jobs/3e04ef3b8f4007389bedbd5f","title":"Lead Data Engineer","description":"Overview\nIn this role you will lead the design and delivery of scalable data pipelines and architectures on Databricks to support analytics, data science, and enterprise data initiatives. You will collaborate with cross-functional teams to translate business needs into technical specs, ensure data quality and governance, and drive operational stability. You’ll mentor teammates, implement robust monitoring, and contribute to a data lakehouse strategy that enables trusted, scalable insights. This role offers impact across multiple business functions and emphasizes secure, production-grade data solutions.\n\nResponsibilitiesDesign and implement scalable data frameworks for end-to-end workforce data analytics pipelinesDevelop secure, production-grade data pipelines on Databricks; review others’ codeIdentify automation opportunities to improve operational stabilityLead architecture evaluation sessions with vendors and internal teamsCollaborate with stakeholders to produce architecture/design artifacts and implement ER modelsImplement monitoring, alerting, and data quality checks to ensure data reliabilityDesign end-to-end data solutions using Databricks Pipelines and ADLS; support analytics and data science projectsAssist in Enterprise Data Lakehouse architecture in Databricks and data mart planningMaintain data governance standards and collaborate with cross-functional teamsContribute to CI/CD pipelines and source control using GIT within Azure DevOpsStay updated with Databricks trends and leverage AI-assisted documentation\nKey requirementsBachelor's degree in computer science, information systems, or related fieldTen years of IT experience including data requirements gathering, data mapping, data quality assessments, and automationKnowledge of reporting/visualization tools (Tableau, SSRS, SQL Server)Familiarity with varied data models and data sourcesUnderstanding of governance principles and data mining/extraction/analysis in banking contextAnalytical and critical thinking; ability to switch between tech stacksAbility to mentor team members and communicate effectivelyAnalytical thinkingMentoring and coachingStrong written and verbal communicationDatabricksAzure DatabricksAzure Data Lake Storage (ADLS)","company":"Synovus","rawCompany":"synovus","city":"Alpharetta","state":"GA","isRemote":false,"isActive":false,"createdAt":"2026-09-15T04:56:49.943Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"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":"Lead Data Engineer","description":"Overview\nIn this role you will lead the design and delivery of scalable data pipelines and architectures on Databricks to support analytics, data science, and enterprise data initiatives. You will collaborate with cross-functional teams to translate business needs into technical specs, ensure data quality and governance, and drive operational stability. You’ll mentor teammates, implement robust monitoring, and contribute to a data lakehouse strategy that enables trusted, scalable insights. This role offers impact across multiple business functions and emphasizes secure, production-grade data solutions.\n\nResponsibilitiesDesign and implement scalable data frameworks for end-to-end workforce data analytics pipelinesDevelop secure, production-grade data pipelines on Databricks; review others’ codeIdentify automation opportunities to improve operational stabilityLead architecture evaluation sessions with vendors and internal teamsCollaborate with stakeholders to produce architecture/design artifacts and implement ER modelsImplement monitoring, alerting, and data quality checks to ensure data reliabilityDesign end-to-end data solutions using Databricks Pipelines and ADLS; support analytics and data science projectsAssist in Enterprise Data Lakehouse architecture in Databricks and data mart planningMaintain data governance standards and collaborate with cross-functional teamsContribute to CI/CD pipelines and source control using GIT within Azure DevOpsStay updated with Databricks trends and leverage AI-assisted documentation\nKey requirementsBachelor's degree in computer science, information systems, or related fieldTen years of IT experience including data requirements gathering, data mapping, data quality assessments, and automationKnowledge of reporting/visualization tools (Tableau, SSRS, SQL Server)Familiarity with varied data models and data sourcesUnderstanding of governance principles and data mining/extraction/analysis in banking contextAnalytical and critical thinking; ability to switch between tech stacksAbility to mentor team members and communicate effectivelyAnalytical thinkingMentoring and coachingStrong written and verbal communicationDatabricksAzure DatabricksAzure Data Lake Storage (ADLS)","datePosted":"2026-09-15T04:56:49.943Z","dateModified":"2026-09-15T04:56:49.943Z","hiringOrganization":{"@type":"Organization","name":"Synovus","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Alpharetta","addressRegion":"GA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"3e04ef3b8f4007389bedbd5f"},"url":"https://jobsearcher.com/jobs/3e04ef3b8f4007389bedbd5f"}}