Director of Enterprise Data Engineering
New
W
Western Veterinary PartnersVeterinary Services
Candidates located more than 50 miles from the Denver office may work remotely.Full-TimeDirector
Salary$185,000 — $215,000 USD
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Job Details
- Experience
- 10+ years of progressive professional IT experience
- Required Skills
- SQLGitMicrosoft Power BISnowflakeData engineeringData modelingdbtDatabricks
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, or enterprise applications.
- 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.
- 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.
- 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.
- Build, lead, and mentor the Enterprise Architecture and Data Engineering team.
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