{"schemaVersion":"jobsearcher.job.v1","id":"e04eaa69c8171d2b3b0c819f","url":"https://jobsearcher.com/jobs/e04eaa69c8171d2b3b0c819f","canonicalUrl":"https://jobsearcher.com/jobs/e04eaa69c8171d2b3b0c819f","title":"Manager Data Engineering","description":"Job Description Manager Data EngineeringWe are seeking a Manager-Level Data Architect to lead and support a team of data engineers while driving the evolution of our enterprise data platform. This role combines deep technical expertise in SQL Server database administration with modern data engineering practices, and plays a key role in our transition from self-managed IaaS-based database platforms to fully managed PaaS solutions.The ideal candidate brings strong hands-on DBA experience, proven leadership of small engineering teams, and a track record of planning and executing database migrations to cloud-managed services. This individual will partner closely with Program Management (PM) to ensure effective planning, execution, and delivery of data platform initiatives.Responsibilities:Leadership & DeliveryLead, mentor, and manage a team of 3-5 data engineers across platform and integration tracksCollaborate with Program Managers to plan, prioritize, and execute data initiativesDrive accountability for project delivery, operational excellence, and continuous improvementProvide technical guidance and architectural oversight across all data-related workstreamsData Platform EngineeringOversee setup, configuration, and maintenance of data platforms and environmentsSQL Server clusters (IaaS, self-managed)Aurora PostgreSQL and other cloud-native databasesBI platforms (SSRS, Tableau, PowerBI)Lead database administration activities including performance tuning, high availability, backup/recovery, and upgradesDefine and implement access control, governance, and security best practicesDrive DataOps practices including monitoring, reliability, and performance optimizationImplement and manage CI/CD pipelines for database and platform deployments (Python, Liquibase)Lead security remediation efforts and compliance initiativesData Integration EngineeringOversee design and development of scalable data pipelines and integration workflowsGuide implementation of ETL/ELT processes using SSIS, AWS Glue, and PythonSupport development and optimization of data marts and analytical data modelsEnsure strong DataOps practices including data quality, observability, and freshness monitoringLead and support data migration efforts, particularly SQL Server to PaaS transitionsOptimize performance and scalability of data pipelines and integration processesCloud Migration & ModernizationPlan and execute migration strategies from SQL Server (IaaS) to managed PaaS database servicesEvaluate target architectures and recommend best-fit cloud-native solutionsEnsure minimal disruption and high data integrity during migration processesRequirements:10+ years of experience in data architecture, database administration, or data engineering rolesStrong hands-on experience as a SQL Server DBA (current or prior role), including performance tuning, HA/DR, and operational supportProven experience leading small engineering teams (5-7 members)Experience designing and managing self-hosted database environments (IaaS)Demonstrated experience planning and executing database migrations to PaaS/cloud-managed servicesStrong understanding of DataOps practices, including monitoring, reliability, and performance managementExperience building and maintaining data pipelines and ETL/ELT processes (SSIS, Glue, Python)Experience with CI/CD tools and practices for data platforms (e.g., Liquibase, Python-based automation)Familiarity with BI tools such as SSRS and TableauStrong collaboration skills and experience working closely with Program/Product ManagementSolid understanding of data security, governance, and access controlPreferred Qualifications:Experience with AWS data services (e.g., Aurora PostgreSQL, Glue, S3, RDS) or equivalent cloud platformsExperience with PostgreSQL or other open-source databasesFamiliarity with stream processing technologies (e.g., Apache Flink)Knowledge of infrastructure-as-code and automation tools (e.g., Terraform, CloudFormation)Experience implementing enterprise-grade data observability and data quality frameworksBackground in supporting large-scale, highly available production data systemsStrong communication skills with the ability to translate technical concepts for non-technical stakeholdersAdditional InformationAn inclusive workplace that promotes diversity and collaboration.Access to ongoing learning and development opportunities.Competitive compensation and benefits package.Flexibility to support work-life balance.Comprehensive health benefits for you and your family.Generous paid leave and holidays.Wellness program and employee assistance.Pay Range: $140,000-$190,000The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and specific skillset required for the work.As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at hiring@publicis.sapient.com","company":"Sapient","rawCompany":"sapient","city":"Arlington","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-10-16T14:07:59.814Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1242.00","title":"Database Administrators","slug":"database-administrators"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Manager Data Engineering","description":"Job Description Manager Data EngineeringWe are seeking a Manager-Level Data Architect to lead and support a team of data engineers while driving the evolution of our enterprise data platform. This role combines deep technical expertise in SQL Server database administration with modern data engineering practices, and plays a key role in our transition from self-managed IaaS-based database platforms to fully managed PaaS solutions.The ideal candidate brings strong hands-on DBA experience, proven leadership of small engineering teams, and a track record of planning and executing database migrations to cloud-managed services. This individual will partner closely with Program Management (PM) to ensure effective planning, execution, and delivery of data platform initiatives.Responsibilities:Leadership & DeliveryLead, mentor, and manage a team of 3-5 data engineers across platform and integration tracksCollaborate with Program Managers to plan, prioritize, and execute data initiativesDrive accountability for project delivery, operational excellence, and continuous improvementProvide technical guidance and architectural oversight across all data-related workstreamsData Platform EngineeringOversee setup, configuration, and maintenance of data platforms and environmentsSQL Server clusters (IaaS, self-managed)Aurora PostgreSQL and other cloud-native databasesBI platforms (SSRS, Tableau, PowerBI)Lead database administration activities including performance tuning, high availability, backup/recovery, and upgradesDefine and implement access control, governance, and security best practicesDrive DataOps practices including monitoring, reliability, and performance optimizationImplement and manage CI/CD pipelines for database and platform deployments (Python, Liquibase)Lead security remediation efforts and compliance initiativesData Integration EngineeringOversee design and development of scalable data pipelines and integration workflowsGuide implementation of ETL/ELT processes using SSIS, AWS Glue, and PythonSupport development and optimization of data marts and analytical data modelsEnsure strong DataOps practices including data quality, observability, and freshness monitoringLead and support data migration efforts, particularly SQL Server to PaaS transitionsOptimize performance and scalability of data pipelines and integration processesCloud Migration & ModernizationPlan and execute migration strategies from SQL Server (IaaS) to managed PaaS database servicesEvaluate target architectures and recommend best-fit cloud-native solutionsEnsure minimal disruption and high data integrity during migration processesRequirements:10+ years of experience in data architecture, database administration, or data engineering rolesStrong hands-on experience as a SQL Server DBA (current or prior role), including performance tuning, HA/DR, and operational supportProven experience leading small engineering teams (5-7 members)Experience designing and managing self-hosted database environments (IaaS)Demonstrated experience planning and executing database migrations to PaaS/cloud-managed servicesStrong understanding of DataOps practices, including monitoring, reliability, and performance managementExperience building and maintaining data pipelines and ETL/ELT processes (SSIS, Glue, Python)Experience with CI/CD tools and practices for data platforms (e.g., Liquibase, Python-based automation)Familiarity with BI tools such as SSRS and TableauStrong collaboration skills and experience working closely with Program/Product ManagementSolid understanding of data security, governance, and access controlPreferred Qualifications:Experience with AWS data services (e.g., Aurora PostgreSQL, Glue, S3, RDS) or equivalent cloud platformsExperience with PostgreSQL or other open-source databasesFamiliarity with stream processing technologies (e.g., Apache Flink)Knowledge of infrastructure-as-code and automation tools (e.g., Terraform, CloudFormation)Experience implementing enterprise-grade data observability and data quality frameworksBackground in supporting large-scale, highly available production data systemsStrong communication skills with the ability to translate technical concepts for non-technical stakeholdersAdditional InformationAn inclusive workplace that promotes diversity and collaboration.Access to ongoing learning and development opportunities.Competitive compensation and benefits package.Flexibility to support work-life balance.Comprehensive health benefits for you and your family.Generous paid leave and holidays.Wellness program and employee assistance.Pay Range: $140,000-$190,000The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and specific skillset required for the work.As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. 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