Manager, Data Engineering

Technology Solutions Vacaville, California


Summary: The Data Engineering Management team is responsible for all aspects of data architecture – including developing the overall data architecture strategy and creating and maintaining standards and best practices for data provisioning, data integration, and data delivery.  This team ensures the availability of data that is “fit for purpose” to meet the operational and strategic objectives of the organization.


  • Leads, trains, evaluates, coaches, professionally develops and motivates staff to attain department goals. Sets and monitors performance goals. Promotes a work environment that encourages involvement, initiative and teamwork. Builds career development paths for assigned staff.
  • Ensures best in class managing and delivering of data.
  • Implements principles, policies, standards, and guidelines for data management. 
  • Fosters value creation from the use of the organization’s data assets, as well as the external data ecosystem. 
  • Acts as data strategist and adviser, steward for improving data quality, and evangelist for data sharing.
  • Understands information requirements by studying organization mission, goals, and business drivers conferring with executives.
  • Achieves data architecture operational objectives by contributing information and recommendations to strategic plans and reviews, preparing and completing action plans, implementing production, productivity, quality, and service standards. 
  • Ensures data is consistent, accurate and accessible for regulatory and business purposes.
  • Ensures enterprise information policies and governance programs align with relevant regulatory, legal and ethical mandates.
  • Reviews all data and data repositories on a periodic basis and ensures data is properly classified according to use, sensitivity, and importance.
  • Audits security precautions to ensure adequate protection is in place.
  • Provides formal authorization for data access.
  • Identifies opportunities for data alignment and re-use. 
  • Responsible for data engineering activities. Defines and supports ETL, data, and business intelligence architectures.
  • Provides data architecture support and expertise to all major enterprise projects. 
  • Ensures enterprise data is structured for ease of use.
  • Turns data into actionable insights that drive business value.
  • Determines long-term directions, industry trends, and how they relate to the organizational needs. 
  • Maintain knowledge of and exposure to emerging trends in data engineering including tools, techniques, technologies, and skills.


  • Proven success in building relationships and working across business lines at all levels of the organization to influence and effect change.
  • Ability to communicate technical information to non-technical audiences (both verbally and written).
  • Demonstrated ability to communicate effectively with all levels of an organization, both technical and non-technical team members.
  • Courage to challenge traditional paradigms with an eye to raising the game towards an analytics organization.
  • Demonstrated leadership with proven track record of leading complex, multidisciplinary teams to deliver solutions.
  • Proven leadership of business intelligence and analytic initiatives in fast-paced, multiple project environment.
  • Excellent interpersonal skills including teamwork, and issue resolution.
  • Broad experience in multiple domain areas, such as data warehousing, business intelligence, data governance, data architecture, data integration, data strategy, data quality management, and regulatory compliance.
  • Expert knowledge of information systems and data lifecycle management best practices and methodologies.
  • Demonstrated knowledge of systems, data, and customer requirements to uncover problems and recommends solutions.
  • Demonstrated experience with a cloud-based technology stack including storage, extraction, transformation, and loading of data from various sources and targets.
  • Thorough understanding of project management and Software Development Lifecycle (SDLC) methodologies, including Scrum.
  • Proven data literacy – the ability to describe business use cases/outcomes, data sources and management concepts.

Reporting and Experience:

  • Reports directly to assigned department management.
  • Direct supervisory responsibilities for the Supervisor, Data Engineering.
  • Overall supervisory responsibilities for assigned department staff.
  • BA/BS or equivalent related professional experience.
  • Minimum of 3 years of software or database experience.
  • Minimum of 5 years of progressive management and/or leadership experience, supervising technical teams who manage and deliver diverse technical and business services.