Senior Data Architect Snowflake / Dimensional Modeling

    Highlights

    The role is heavily focused on Snowflake, Python, Kimball/star-schema dimensional modeling, certified data products, and enterprise analytics architecture . LOCAL CANDIDATES ONLY: Candidates must currently live within 30 miles of Media, PA and be available onsite at Wawa 1–2 days per week .

    Numbers & Facts

    LocationMedia, PA

    Description

    Title:Senior Data Architect – Snowflake / Dimensional Modeling
    Location: Media, PA - Hybrid – 1–2 days/week onsite


    LOCAL CANDIDATES ONLY: Candidates must currently live within 30 miles of Media, PA and be available onsite at Wawa 1–2 days per week.


    IMPORTANT – ORIGINAL RESUMES ONLY: Please submit the candidate's original resume exactly as provided by the candidate. Do not add job-description keywords, skills, technologies, or experience to a resume. If I find that a resume has been altered to add experience the candidate does not have, the vendor will be removed from consideration.

    Project Details
    • Candidate Radius: Must currently live within 30 miles
    Role Overview
    Seeking a Senior Data Architect to lead the modernization of Wawa's enterprise dimensional data warehouse and analytics environment. The role is heavily focused on Snowflake, Python, Kimball/star-schema dimensional modeling, certified data products, and enterprise analytics architecture.
    Key Responsibilities
    • Lead redesign and modernization of enterprise dimensional data warehouses using Kimball/star schema
    • Define standards for dimensional modeling, semantic consistency, certified datasets, and reporting structures
    • Develop conceptual, logical, and physical enterprise data models
    • Architect scalable Snowflake data and transformation solutions
    • Establish Python-based data engineering standards and reusable patterns
    • Design curated/certified datasets supporting executive dashboards, operational reporting, and self-service BI
    • Align KPI definitions, reporting logic, and semantic models across the organization
    • Drive data governance, lineage, quality, and consistency
    • Provide architecture leadership and mentorship to data engineers/modelers
    • Lead modernization roadmaps and improve scalability across the analytics ecosystem
    Required Qualifications
    • 8+ years of enterprise data architecture, analytics engineering, or data warehousing experience
    • MUST HAVE: Strong Snowflake expertise
    • MUST HAVE: Advanced Python development
    • MUST HAVE: Deep Kimball/star-schema dimensional modeling experience
    • MUST HAVE: Enterprise dashboarding and certified data product experience
    • Strong SQL development and optimization
    • Experience designing curated reporting layers and semantic models
    • Experience supporting Tableau, Power BI, or similar enterprise BI platforms
    • Strong communication and stakeholder-management skills
    Preferred
    • AWS cloud experience
    • Databricks or distributed processing frameworks
    • Experience modernizing large enterprise analytics and reporting environments

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