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Senior Data Architect Snowflake / Dimensional Modeling

PublishedPublished: 6/14/2022
Technology

Job Description

Job 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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