Lead the org-wide data platform that powers every product and AI workflow across the company, from award-winning AI-powered Global HR & Compliance Product to the Agentic AI Platform
Job Summary
Lead the org-wide data platform that powers every product and AI workflow across the company, from award-winning AI-powered Global HR & Compliance Product to the Agentic AI Platform.
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, from award-winning AI-powered Global HR & Compliance Product to the Agentic AI Platform.
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
Python & SQL
Engineering Team Leadership
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
Proven experience in platform reliability, monitoring, incident management
Experience defining, enforcing, and monitoring schema governance, data quality, security, and compliance standards
Strong programming skills in Python and SQL
Experience building tools and APIs for internal engineering teams
Ability to guide architectural decisions and design reviews