Senior Data Engineer

 

Our mission is to create the Experience of a Lifetime for our employees, so they can, in turn, create the Experience of a Lifetime for our guests. We own and operate the most renowned destination resorts in the world as well as regional and local ski areas outside major cities, and connect them all through one unrivaled network. We are looking for ambitious leaders, innovators and creators to join our talented team. If you’re ready to pursue your fullest potential, we want to get to know you!

 

Candidates for year-round positions are reviewed on a rolling basis. Applications will be accepted up to 90 days after the posting date, or until the position is filled (whichever is first).

 

The Opportunity

We are looking for a curious, driven, and innovative Senior Data Engineer who proactively takes initiative to solve complex problems and lead the development of data assets that elevate our marketing analytics capabilities.

In this role, you will architect cost-conscious, high-efficiency data assets and serve as the subject matter expert on production-ready data streams spanning email, website, app, and paid media source systems. You will drive a tight, cross-functional partnership with the marketing analytics team to fundamentally enhance reporting and analytics capabilities across our entire digital and marketing landscape.

About the Team

The Data Science & Data Engineering team within the Enterprise Analytics organization builds foundational data assets, predictive models, analytical applications, and platforms for the entire enterprise. Our team collaborates deeply with business stakeholders, analysts, and technology groups to tackle high-impact use cases. We leverage modern tools and methodologies to accelerate business growth, optimize infrastructure costs, and continuously improve guest experiences.

 

What you’ll do: 

• Architect & Scale Data Pipelines: Design, build, and maintain robust, scalable ingestion pipelines from a diverse suite of marketing sources (APIs, SFTPs, webhooks etc.), ensuring high availability and data integrity.
• Optimize Core Data Assets: Develop, maintain, and tune high-performance dbt models to transform raw marketing data into production-ready analytic assets for cross-functional reporting.
• Drive Infrastructure Efficiency: Audit and refactor existing data infrastructure to uncover cost efficiencies and optimize compute performance across marketing data sets.
• Accelerate AI Readiness: Develop and scale semantic layers and data models specifically tailored to fuel downstream AI use cases and predictive marketing analytics.
• Champion Governance & Literacy: Author comprehensive data documentation, lineage maps, and artifacts to elevate data literacy and foster a culture of self-service across the organization.
• Lead Cross-Functional Partnerships: Act as the primary engineering partner to the Marketing Analytics team, translating complex business requirements into high-impact, performant data products.
• Bridge IT & Engineering: Collaborate closely with IT and core Data Engineering teams to align architectural standards, bridge capability gaps, and foster a cohesive, modern data ecosystem.
• Serve as a Subject Matter Expert: Act as a key technical resource for data engineering best practices, scalable architectural design, and marketing data usage.
• Drive Technical Excellence & Mentorship: Act as a technical mentor to elevate the team's engineering capabilities, driving continuous skill development and championing modern best practices across analytics and engineering cohorts

 

What