Lead the org-wide data platform that powers every product and AI workflow across the company
Job Summary
Lead the org-wide data platform that powers every product and AI workflow across the company.
Build, mentor, and grow high-performing distributed engineering teams that thrive in a culture of autonomy, ownership, and operational excellence.
Shape technical strategy for distributed systems, streaming infrastructure, lakehouse, and Knowledge Platform, making high-impact architectural decisions affecting all products, AI workflows, and business-critical processes.
Matching Summary
Lead the org-wide data platform that powers every product and AI workflow across the company.
Skills & Requirements
Must-have
Data Platform Architecture
Streaming / Event Processing
Lakehouse Platforms
Knowledge / Semi-structured Data Platform
Distributed Data Processing
Platform Reliability & Monitoring
Schema Governance & Validation
AWS Cloud Infrastructure
Python & SQL
Engineering Team Leadership
CI/CD and modern engineering practices
Nice-to-have
Supporting AI / ML workloads
Data governance and cataloging platforms
Internal developer platforms or APIs
Key Requirements
12+ years in software or data engineering
4+ years leading distributed engineering teams
Hands-on experience designing and operating large-scale data platforms
Familiarity with Databricks, Snowflake, or similar cloud data platforms
Strong programming skills in Python and SQL
Experience building tools and APIs for internal engineering teams