Director of Enterprise Data Engineering

Western Veterinary Partners•Denver, CO

3d•$185,000 - $215,000•Hybrid

About The Position

Western Veterinary Partners (WVP) is seeking a Director of Enterprise Data Engineering to establish the organization’s enterprise architecture practice and build a scalable enterprise data platform. This role is responsible for supporting business growth, operational excellence, and data-driven decision-making. The Director 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. Working with external partners, the Director will provide technical oversight during platform development, take ownership of the production environment post-go-live, and establish the necessary architecture and data engineering capabilities for the organization’s long-term technology and analytics strategy. 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.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline.
10+ years of progressive professional IT experience (exclusive of education), 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.

Responsibilities

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.
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 Business Data Analytics Lead and Director of Business Intelligence to deliver prioritized data platform capabilities, integrations, and enterprise data solutions.
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.
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.