Enterprise Cloud Data Architect

S R INTERNATIONAL INC; Harrisburg (Dauphin County); Hybrid; USD 150,000 - 210,000; Full time

Job summary

The Commonwealth of Pennsylvania – Office of Administration is seeking an Enterprise Cloud Data Platform Architect for a hybrid role in Harrisburg, PA. You will lead design and evolution of enterprise cloud data platforms, standards, and reusable data products across agencies in a secure, scalable fashion.

Requirements include 10+ years building large-scale cloud data platforms, expertise in Snowflake/Databricks/AWS/Azure, IAM/RBAC, and IaC with Terraform.

Qualifications

• 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 hands-on experience in Modern Data Architecture, Platform Engineering, Cloud Infrastructure.
• 5+ years designing and implementing Enterprise Security Controls including IAM, RBAC, Cloud Security.
• Experience building and managing Infrastructure as Code (Terraform or equivalent).
• Hands-on experience with 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.

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.

Skills

Cloud Data Platforms

Platform Engineering

Modern Data Architecture

Cloud Infrastructure

AWS

Azure

Snowflake

Databricks

Terraform

IAM

RBAC

DevSecOps

Containerized Applications

API-First Architecture

Enterprise Security

AI Data Platforms

Education

Bachelor's degree in Computer Science, Information Systems, or related field

Tools

Terraform

Job description

Job Title: Enterprise Cloud Data Platform Architect – Hybrid

Job Code: PA 809076 Client: Commonwealth of Pennsylvania – Office of Administration (OA) Location: Harrisburg, Pennsylvania (Hybrid) Duration: Through 12/31/2026 Work Location: 607 South Drive, Forum Building, 5th Floor, Harrisburg, PA Work Schedule: Hybrid – 1 day onsite per week (Tuesday, Wednesday, or Thursday)

Position Overview

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.

Key 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.

Required Skills

• 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

Preferred Skills

• 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

Technical Environment

• AWS
• Azure
• Snowflake
• Databricks
• Terraform
• Platform Engineering
• Cloud Infrastructure
• Cloud Data Platforms
• IAM
• RBAC
• DevSecOps
• Containerized Applications
• Cloud Engineering
• API-First Architecture
• Enterprise Data Platforms

Primary Skills

• Cloud Data Platforms
• Platform Engineering
• Modern Data Architecture
• Cloud Infrastructure
• AWS
• Azure
• Snowflake
• Databricks
• Terraform
• Infrastructure as Code (IaC)
• IAM
• RBAC
• DevSecOps
• Cloud Engineering
• Containerized Applications
• Enterprise Security
• Enterprise Modernization
• API-First Architecture
• AI Data Platforms