Lead platform engineering efforts for MIDAS, a modern, federated, metadata-driven data platform engineered for composability, governance, and AI-readiness
Job Summary
Lead platform engineering efforts for MIDAS, a modern, federated, metadata-driven data platform engineered for composability, governance, and AI-readiness.
Define the engineering strategy for GenAI enablement, with LLM-based copilots and inference patterns backed by real-time streaming and vector-indexed feature stores.
This is a once-in-a-decade opportunity to build the foundational data and AI architecture for an entire industry.
Matching Summary
Lead platform engineering efforts for MIDAS, a modern, federated, metadata-driven data platform engineered for composability, governance, and AI-readiness.
Skills & Requirements
Must-have
Contract-Driven Data Pipelines
Policy-as-Code Frameworks
Multi-Modal Metadata Plane
Data Mesh Enablement
AI/ML Infrastructure Foundation
Scalable Runtime Architecture
Nice-to-have
High-trust engineering culture
Operational rigor
Executive-level influence
Industry-wide digital transformation
Key Requirements
12-15 years in engineering
5+ years leading platform or data infra teams
Proven architecture and delivery of internal data platforms
Deep experience in data governance
Familiarity with Iceberg, Kafka, Airflow, OpenMetadata