Director of Enterprise Data Engineering

Western Veterinary Partners (WVP) is a mission-driven veterinary support organization headquartered in Denver, Colorado. We acquire, invest in, and support veterinary hospitals throughout the United States, focusing on non-clinical aspects while preserving each hospital’s clinical autonomy, local identity, and community relationships.

About the Role

Reporting to the SVP of Technology & Enterprise Strategy, the Director of Enterprise Data Engineering will establish the organization’s enterprise architecture practice and build a scalable enterprise data platform to support business growth, operational excellence, and data-driven decision-making. This leader will define the enterprise technology and data platform strategy, oversee the implementation of the enterprise data warehouse, and partner with business and technology leaders to deliver secure, scalable, and integrated solutions. Candidates located more than 50 miles from the Denver office may work remotely. Candidates based in the Denver area are expected to work a hybrid schedule, with two days per week in the office.

Responsibilities

• Enterprise Architecture & Technology Strategy
  • Establish the organization’s Enterprise Architecture function, including governance, standards, reference architectures, and technology roadmaps.
  • Develop and maintain enterprise technology strategies that support organizational growth, acquisitions, and digital transformation.
  • Partner with executive and business leaders to evaluate technology investments and align solutions with business objectives.
  • Define architectural standards for applications, integrations, cloud platforms, infrastructure, security, and data.
  • Evaluate emerging technologies and ensure enterprise solutions are scalable, secure, and aligned with long-term business needs.
• Data Platform & Engineering
  • Lead the implementation and ongoing evolution of the enterprise data warehouse and data platform.
  • Develop scalable data integration, modeling, and engineering capabilities that provide trusted, governed data for enterprise reporting, analytics, and AI initiatives.
  • Establish data governance, data quality, and master data management practices to ensure trusted enterprise data.
  • Ensure the data platform meets performance, scalability, security, and disaster recovery requirements.
  • Partner with the Business Data Analytics Lead and Director of Business Intelligence to deliver prioritized data platform capabilities, integrations, and enterprise data solutions.
• Platform Ownership & Delivery
  • Serve as the technical owner of the enterprise data platform throughout implementation and into production.
  • Partner with external implementation vendors to review architecture, engineering designs, code quality, and technical deliverables.
  • Provide technical oversight through design, development, testing, deployment, and production readiness.
  • Assume ownership of the production environment following go-live, establishing operational support, monitoring, release management, and continuous improvement.
  • Develop and execute the roadmap for future platform enhancements and new technology capabilities.
• Leadership & Organizational Development
  • Build, lead, and mentor the Enterprise Architecture and Data Engineering team.
  • Establish engineering standards, development practices, and operational processes that promote quality and consistency.
  • Manage technology vendors, implementation partners, budgets, and strategic technology investments.
  • Foster a culture of collaboration, innovation, accountability, and continuous learning.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline.
• 10+ years of progressive professional IT experience, including leadership experience in enterprise architecture, data engineering, enterprise applications, or data platform technologies.
• Experience designing, implementing, and supporting enterprise data warehouses and modern data platforms.
• Hands-on experience with one or more modern data platforms (e.g., Snowflake, Databricks, or Microsoft Fabric).
• Strong technical expertise in SQL, dbt, Git, data pipeline development and integration, dimensional modeling, semantic modeling, and Power BI.
• Experience partnering with third-party implementation vendors and transitioning enterprise platforms into internal operational ownership.
• Proven ability to build and lead technical teams, establish governance, and successfully deliver cross-functional technology initiatives.
• Excellent communication, collaboration, and executive stakeholder management skills.

Pay

The salary range for this opportunity is $185,000 - $215,000 annually. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. This position is also eligible for bonus and incentive compensation.

Benefits

• Comprehensive medical, dental, and vision benefits.
• Vacation and sick leave.
• 401(k) retirement plan.
• Paid sick leave, health emergency leave, and other legally mandated benefits (varies by location).

WVP is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, genetic information, or any other protected characteristic.