Data & AI Platform Architect

• Design and evolve the enterprise data and AI platform across teams and projects.
• Set architecture standards for the semantic data model, pipelines, applications, APIs and integrations.
• Build reusable platform patterns, templates, APIs and components.
• Design integrations with Snowflake, AWS, Azure, databases, APIs and SaaS platforms.
• Own platform governance: access controls, security, data protection, auditability and compliance.
• Define CI/CD, release, testing and deployment standards.
• Set up observability: logging, metrics, lineage, alerting and dashboards.
• Provide hands-on production support and root-cause analysis.
• Guide project teams and work closely with Cybersecurity, Data Governance, Enterprise Architecture and engineering.

• Strong hands-on experience with Palantir Foundry / AIP (the key requirement).
• 5+ years of experience with enterprise data and analytics platforms at scale.
• Solid experience with semantic data modeling, data pipelines, APIs and enterprise integrations.
• Strong Python and SQL.
• Working knowledge of Model Context Protocol (MCP).
• Experience with CI/CD, security, governance, observability and production support.
• Experience integrating Snowflake, AWS, Azure and SaaS applications.
• Experience supporting shared platforms used by multiple teams.
• Bachelor’s or Master’s degree in Computer Science, Engineering or a related field.
• English level C1.
• Based in the US with work authorization (visa sponsorship is not available), and able to work hybrid from Arden Hills, MN or Marlborough, MA.

Nice to have:

• Experience with enterprise GenAI / AI platforms.
• Background in healthcare, life sciences, medtech or another regulated industry.
• Experience building reusable data products, platform SDKs and developer tooling.