Manager – Data Platforms

Full Time
  • August 29, 2026
  • Employment Info

    JOB  DETAIL

    Requirements
    • 10+ years of experience
    • 4+ years of management experience
    Responsibilities
    • Provides leadership, direction, and coaching to a multidisciplinary team of database administrators, data engineers, and reporting analysts.
    • Establishes and maintains non-production database, data pipeline, and reporting test environments.
    • Partners with product owners, business stakeholders, and technical teams to understand data platform requirements, data consumption needs, and analytical use cases.
    • Collaborates with project and program managers to ensure team priorities align with broader data, application, and enterprise initiatives.
    • Leads the planning, execution, and delivery of data platform enhancements, database releases, data pipelines, and reporting solutions.
    • Ensures delivery of secure, reliable, high-quality, and scalable data platforms that meet business, compliance, and performance requirements.
    • Oversees the maintenance, grooming, and prioritization of the data platform and analytics backlog.
    • Engages with customers, end users, and business partners to understand data issues, reporting needs, and opportunities for platform improvement.
    • Supports the evaluation and adoption of new data technologies, automation tools, and database management solutions.
    • Works closely with technical teams to troubleshoot and resolve data platform, ETL, reporting, and production database issues.
    • Defines, implements, and promotes best practices and standard operating procedures for database management, data engineering, reporting, deployment, support, and incident response.
    • Develops and maintains training, development, and upskilling plans to grow team capability across database, data engineering, and analytics disciplines.
    • Contributes to the execution of division-wide data initiatives, governance programs, and technology transformation efforts.
    • Identifies, communicates, and manages risks and issues related to data platforms, data quality, system performance, and solution design.

     

     

     

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