VP, Data Engineering

About the Role

You will lead the vision, strategy, and execution of our enterprise data ecosystem as Vice President of Data Engineering. In this role, you’ll shape how data is built, governed, and scaled across the organization—enabling advanced analytics, AI/ML, and data-driven decision-making.

You’ll partner with cross-functional leaders in product, engineering, analytics, security, and compliance to deliver a trusted, scalable, and high-performing data platform. Your work will directly impact how the organization leverages data to drive innovation and growth.

What You’ll Do

Set Strategy & Lead Teams

• You define and evolve the enterprise data engineering strategy aligned with business goals and transformation priorities

• You lead, coach, and grow inclusive, high-performing teams across data engineering, architecture, and governance

• You foster a culture grounded in quality, accountability, and continuous improvement

• You partner with senior leaders to prioritize investments and drive aligned outcomes

Build Data Governance & Trust

• You establish and advance enterprise-wide data governance frameworks, standards, and practices

• You ensure clear data ownership, lineage, metadata management, and stewardship

• You guide practices that support data privacy, security, and regulatory compliance

• You improve data quality, discoverability, and lifecycle management so teams can confidently use data

Design & Scale Data Platforms

• You architect and oversee scalable, cloud-based data platforms (GCP, Azure, Snowflake)

• You guide the development of data warehouses, data lakes, pipelines, and streaming solutions

• You ensure systems are reliable, secure, high-performing, and resilient

• You advance automation, CI/CD, and infrastructure-as-code practices to increase efficiency

Drive Modern Data Capabilities

• You lead adoption of modern data technologies and frameworks

• You enable seamless data ingestion, transformation, and orchestration across diverse data sources

• You optimize performance and cost across platforms like Snowflake

• You evaluate and introduce new capabilities supporting AI/ML, real-time analytics, and self-service data

What You Bring

We recognize that talent comes from many paths. If your experience aligns with most of the below, we encourage you to apply.

• You bring significant experience leading data engineering, data architecture, or platform engineering efforts

• You’ve led teams and initiatives at scale, with a focus on collaboration and results

• You have strong experience building and operating cloud-based data platforms (such as GCP, Azure, or similar environments)

• You’ve worked with modern data technologies, including data warehouses, pipelines, and distributed processing systems

• You understand data governance, data quality, and responsible data management practices

• You have experience driving modernization, migration, or transformation initiatives

• You’re skilled at influencing stakeholders and communicating complex ideas clearly

Why Join Us

• You’ll have the opportunity to shape enterprise-wide data strategy and impact critical business outcomes

• You’ll work alongside collaborative leaders and innovative teams

• You’ll help build inclusive, forward-thinking data practices that scale