Enterprise Cloud Data Architect

S R INTERNATIONAL INC•Harrisburg, PA

8h•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.