The Role
Lead design and delivery of a secure, multi-tenant enterprise cloud data platform. Define target architecture and multi-year roadmap, build and mature platform services, set engineering standards and guardrails, implement IAM and encryption, enable agency onboarding and reusable data products, and collaborate with security, cloud, and product teams to ensure AI-ready infrastructure and enterprise alignment.
Summary Generated by Built In
COPA is establishing a new CDAI Office to build enterprise data capabilities that will enable every agency to deliver improved digital services, data analytics and AI solutions. This is a technical leadership position for the implementation and continual evolution of the Commonwealth’s enterprise data platforms. Working under the direction of the Chief Data and AI Officer, this position designs, engineers, and delivers reusable cloud-based data products and shared services that enable agencies to securely develop digital services. The position establishes engineering practices, implementation standards, automation, and shared platform services that support enterprise modernization while enabling agencies to consume standardized capabilities rather than developing agency-specific solutions.
This role will balance tech strategy with practical execution, partner with solution architects, data teams in delivery centers and enterprise tech teams such as security, governance.
Key Responsibilities
1. Enterprise Platform Architecture
• Define target architecture for an enterprise data platform
• Multi-year roadmap aligned to enterprise modernization initiatives
• Evaluate emerging tech while maintaining architectural consistency
2. Platform Engineering
• Build MVP and mature cloud data platform over time
• Set engineering standards and operational guardrails
• Design secure multi-tenant environments capable of serving multiple agencies with data co-mingling considerations
• Partner with CISO teams to implement IAM, encryption and audit capabilities
3. Enterprise enablement
• Design and build platform services instead of agency-specific implementations
• Develop onboarding patterns for agencies adopting enterprise products and services
• Ensure alignment across modernization initiatives
• Develop data products identified by Product team and AI-ready infrastructure
4. Leadership
• Develop engineering best practices
• Collaborate with tech leaders across agencies and enterprise
• Partner with cloud, integration and data teams to implement enterprise data products.
• Promote API-first and product-based approaches to information sharing.
Desired Background and Experience
• Bachelor of Computer Science, Information Systems, Systems Programming or equivalent combination of relevant education and experience
• 10+ years of experience building large scale cloud data platforms
• At least 7 years of hands-on experience in modern data architecture, platform engineering, cloud infrastructure
• Experience designing and implementing enterprise security controls for cloud data platforms, including IAM, RBAC etc.
• Proven experience building and operating cloud infrastructure as Code (Terraform or equivalent)
• Hands-on experience implementing modern DevSecOps practices and champion shift-left approach to security
• Partner with Cloud Engineering, CISO and GRC teams to integrate security controls into the data platforms while maintaining clear ownership boundaries.
• Data Platform & Services experience including platforms Snowflake, Databricks, AWS, Azure, containerized applications
• Soft skills important to this role
o Effective communication of technology concept to non-tech audience
o Can start from ground up
o Think patterns and reusable capabilities
o Worked at enterprise level for data platforms supporting multiple teams across the company
o Lead through influence[SK1.1][NN1.2] not direct reports
Requirements
Skill
Required / Desired
Amount
of Experience
experience building large scale cloud data platforms
Required
10
Years
Required
10
Years
hands-on experience in modern data architecture, platform engineering, cloud infrastructure
Required
7
Years
Required
7
Years
experience designing and implementing enterprise security controls for cloud data platforms, including IAM, RBAC etc
Required
5
Years
Required
5
Years
proven experience building and operating cloud infrastructure as Code (Terraform or equivalent)
Required
Required
partner with Cloud Engineering, CISO and GRC teams to integrate security controls into the data platforms while maintaining clear ownership boundari
Required
Required
data Platform & Services experience including platforms Snowflake, Databricks, AWS, Azure, containerized applications
Required
Required
Skills Required
- Bachelor in Computer Science, Information Systems, Systems Programming or equivalent experience
- 10+ years 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 for cloud data platforms (IAM, RBAC)
- Proven experience building and operating cloud infrastructure as code (Terraform or equivalent)
- Hands-on experience implementing DevSecOps practices and shift-left security
- Experience with data platforms and services including Snowflake, Databricks, AWS, Azure, and containerized applications
- Strong communication, ability to lead through influence, build reusable patterns, and operate at enterprise scale
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Novalink Solutions LLC is a global consulting, engineering, and AI product development company specializing in information technology and telecommunications. They provide AI-powered products, automation platforms, intelligent workflow systems, IT consulting, managed engineering, and staff augmentation services.
