Data Platform Engineer

We are standing up a new data platform organization from the ground up. The mission is to bring together fragmented data systems across multiple vertical entities into a unified, governed, AI-ready platform. This team will define the technical foundation that powers the organization’s data ecosystem, from core data infrastructure through the enablement of future AI-native workflows and applications.

As a Senior/Staff Data Platform Engineer, you will play a critical role in designing and building foundational platform capabilities. This role is for someone who can operate with autonomy, move quickly, and make thoughtful technical decisions that balance immediate needs with long-term scale.

• Design and build scalable platform services for data ingestion, storage, transformation, and access
• Create reusable systems and frameworks that support multiple teams and business units
• Contribute to data governance, lineage, consistency, and platform standards
• Help establish best practices around data modeling, architecture, and platform reliability
• Work closely with solutions engineers, AI engineers, and leadership to ensure the platform supports downstream workflows and applications
• Evaluate and introduce new tools where appropriate while maintaining a long‑term architectural lens
• Mentor less experienced engineers and help raise the bar for platform engineering across the team

• 5+ years of experience in data engineering, platform engineering, or backend infrastructure
• Strong hands‑on experience with Python, Java
  , or similar languages
• Experience with platforms such as Snowflake, Databricks
  , or related data ecosystems
• Strong understanding of data modeling, governance, storage design, and scalable system architecture
• Experience building shared internal platforms, frameworks, or infrastructure used by multiple teams
• Ability to operate with high ownership in ambiguous, fast‑moving environments
• Strong communication and collaboration skills

• Has built platform capabilities in high‑scale or highly autonomous engineering environments
• Understands how to build for the future while still iterating quickly
• Can zoom out and think about platform leverage, not just isolated data problems