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Enterprise Cloud Data Architect

S R INTERNATIONAL INCHarrisburg, PA
Hybrid

About The Position

The Commonwealth of Pennsylvania is establishing a new Chief Data & AI (CDAI) Office and is seeking an experienced Enterprise Cloud Data Platform Architect to lead the design, implementation, and evolution of enterprise cloud data platforms. The selected consultant will build scalable cloud-native data platforms, establish engineering standards, implement secure cloud infrastructure, and enable enterprise modernization through reusable data products and AI-ready services.

Requirements

  • Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent experience)
  • 10+ years of experience building large-scale cloud data platforms
  • 7+ years of hands-on experience in: Modern Data Architecture, Platform Engineering, Cloud Infrastructure
  • 5+ years of experience designing and implementing: Enterprise Security Controls, IAM, RBAC, Cloud Security
  • Experience building and managing Infrastructure as Code (Terraform or equivalent)
  • Hands-on experience implementing DevSecOps and Shift-Left security practices
  • Experience collaborating with: Cloud Engineering, CISO, GRC Teams
  • Strong experience with: Snowflake, Databricks, AWS, Azure, Containerized Applications
  • Experience building enterprise-scale reusable cloud data platforms
  • Strong communication skills with technical and non-technical stakeholders

Nice To Haves

  • Enterprise modernization experience
  • AI-ready cloud infrastructure
  • API-first architecture
  • Enterprise platform engineering
  • Experience leading enterprise engineering initiatives across multiple teams
  • Strong leadership through influence in cross-functional environments

Responsibilities

  • Define the target architecture and multi-year roadmap for enterprise cloud data platforms.
  • Design, build, and mature enterprise cloud data platforms and shared services.
  • Establish engineering standards, automation, governance, and operational best practices.
  • Design secure multi-tenant cloud environments supporting multiple agencies.
  • Implement enterprise security controls, including IAM, RBAC, encryption, and auditing.
  • Build reusable enterprise platform services rather than agency-specific solutions.
  • Develop onboarding patterns and reusable enterprise data products.
  • Collaborate with Cloud Engineering, Security, CISO, GRC, and Data Engineering teams.
  • Promote API-first architecture and product-based information sharing.
  • Lead enterprise engineering best practices and modernization initiatives.

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