Data Architect

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