Data Architect ( Hybrid 1 Day Onsite , Locals Prefferred)

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

• 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

• 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

• 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.

• Bachelor of Computer Science, Information Systems, Systems Programming or equivalent combination of relevant education and experience
• 12+ years of experience building large scale cloud data platforms
• At least 10 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
• Effective communication of technology concept to non-tech audience
• Can start from ground up
• Think patterns and reusable capabilities
• Worked at enterprise level for data platforms supporting multiple teams across the company.