Enterprise Data Architect

Shiftcode Analytics, Inc

  • Reading, PA
  • 3 days ago

    Highlights

    A true Enterprise Architect who can think strategically, communicate with executives, and make architecture decisions that support business outcomes, not simply a senior engineer with an architect title. This individual will partner with business and technology leaders to drive data governance, MDM, AI-readiness initiatives, and future-state data architecture.

    Numbers & Facts

    LocationReading, PA

    Description

    Interview : Video

    Visa : USC, GC

    This is hybrid from day-1. Candidates must be local, or willing to relocate to the Eastern Pennsylvania area.

    Position Summary
    We're seeking an Enterprise Data Architect to lead enterprise-wide data strategy and architecture across transactional, operational, and analytical platforms. This individual will partner with business and technology leaders to drive data governance, MDM, AI-readiness initiatives, and future-state data architecture.

    Responsiblities
    • Define enterprise data architecture standards, roadmaps, and best practices
    • Lead architecture decisions across OLTP, ODS, Data Warehouse, Data Lake, and Lakehouse environments
    • Partner with business stakeholders to align data architecture with business objectives
    • Drive MDM, data governance, and data domain strategies
    • Establish AI-ready data foundations and analytical architectures
    • Evaluate modern data platforms, integration patterns, and cloud technologies
    • Mentor architects and engineering teams on architecture standards and governance

    Qualifications
    • 12+ years of Data Architecture experience
    • Strong background in Enterprise Data Architecture and Data Strategy
    • Experience with Data Governance, MDM, and enterprise data modeling
    • Expertise in analytical platforms including Snowflake, Data Warehouse, and Lakehouse architectures
    • Strong understanding of transactional, operational, and analytical data ecosystems
    • Experience working with executive stakeholders and translating business needs into architecture solutions
    • AWS experience preferred; Azure or GCP experience also considered
    • Exposure to Kafka, Spark, Flink, and AI/ML data foundations is a plus

    Ideal Candidate
    A true Enterprise Architect who can think strategically, communicate with executives, and make architecture decisions that support business outcomes, not simply a senior engineer with an architect title.

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