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Enterprise Data Architect

S R INTERNATIONAL INCHarrisburg, PA
Hybrid

About The Position

The Commonwealth of Pennsylvania is seeking an experienced Enterprise Data Architect to define and evolve enterprise information architecture and reusable data products that support modernization initiatives and future AI capabilities. The selected consultant will partner with business leaders, architects, product teams, and engineering organizations to establish enterprise-wide data standards, governance, data models, and cloud-based data architecture while enabling secure, scalable, and reusable information assets across agencies.

Requirements

  • 10+ years of experience in Data Architecture, Information Architecture, or Enterprise Architecture
  • 8+ years of hands-on experience in Data Architecture, Data Engineering, Advanced Database Design, Data Modeling, Data Warehouse / Data Mart Design, Master Data Management (MDM)
  • 5+ years of experience with Snowflake, Databricks, MongoDB, Cloud platforms (AWS, Azure, GCP)
  • Experience designing enterprise information architecture
  • Experience developing conceptual and logical data models
  • Experience with Data Governance, Metadata Management, Data Lineage, Data Catalog, Data Quality, Data Security, Privacy & Regulatory Compliance
  • Experience supporting enterprise modernization and digital transformation initiatives
  • Experience defining reusable enterprise data products
  • Strong stakeholder management and communication skills

Nice To Haves

  • Public Sector, Healthcare, or Financial Services experience
  • Experience as Principal Architect, Enterprise Information Architect, Enterprise Architect, Solution Architect
  • Experience supporting AI initiatives
  • Knowledge of Semantic Layers, Knowledge Graphs, API-First Architecture, Natural Language Data Access

Responsibilities

  • Define and evolve enterprise information architecture and reusable data products.
  • Support modernization initiatives and future AI capabilities.
  • Partner with business leaders, architects, product teams, and engineering organizations.
  • Establish enterprise-wide data standards, governance, data models, and cloud-based data architecture.
  • Enable secure, scalable, and reusable information assets across agencies.

Benefits

  • Flexible work from home options available.

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