Director of Data Engineering

Director of Data Engineering


What You’ll Do

  • Collaborate with Business & IT teams to establish and communicate a clear data warehouse strategy
  • Manage a team of data engineers, providing leadership and guidance to a diverse team of entry-level to senior-level engineers
  • Design, build, and manage data pipelines for data structures, including data transformation mapping, data flow diagrams, logical and physical data models, and metadata collection, ensuring data integrity and quality
  • Provide technical leadership, direction, and oversight to build reliable and scalable data pipelines, data models, and data visualizations
  • Collaborate with all functions of Workiva to ensure data needs are addressed and the required data is modeled and available to analysts and end-users
  • Assure that all IT data models (Conceptual, Logical, and Physical) are documented to facilitate efficient and effective use of data
  • Lead planning sessions with internal business customers to improve business processes and prioritize investments in data and infrastructure, understanding business needs and translating them into data solutions
  • Work closely with the Enterprise Center of Excellence (ECOE) and Principal Engineers to ensure that all data systems align with the technology strategy
  • Utilize best practices for naming, governing, managing, modeling, cleansing, transforming, moving, storing, and searching all data
  • Ensure changes to the data environment are compliant with architectural standards
  • Lead design and data model reviews, providing constructive feedback to Application Developers
  • Support and influence data governance initiatives, promoting data-driven decision-making and fostering a culture of data excellence within the organization

What You’ll Need

  • Bachelor’s degree in information management, data science/analytics, or a related field
  • 10+ years of overall experience working with data and information management tools.
  • At least 8 years of experience working with the physical and logical architecture of data systems
  • Minimum of 5 years in a technical leadership and management role, showcasing experience in leading and mentoring teams
  • Must have experience with modern data visualization tools; Qlik, Power BI, Tableau etc., Big Data environments; Azure Synapse, Snowflake etc., Cloud Data warehouses, ETL tools and practical experience creating such environments and delivering on business ROI
  • Proven track record of driving self-service reporting and fostering a data-driven culture within an organization, promoting data democratization
  • Proficiency in data modeling software tools such as Erwin or ER/Studio
  • Experience in project management planning, organizing, coordinating, and managing staff, clients and/or partners

Read more here.

Skills

Posted on

May 2, 2023

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