Software Engineering Manager, Data Platform

Autodesk Autodesk · Enterprise · Bangalore, India

Experienced Engineering Manager to lead a Batch Processing platform team responsible for building and scaling a high-throughput, governed data platform that powers critical business decisions and AI products. The role involves leading engineers in designing and operating large-scale distributed data processing systems on a modern lakehouse architecture, enabling reliable, secure, and cost-efficient data movement at petabyte scale.

What you'd actually do

  1. Lead, mentor, and grow a team of strong engineers working on batch processing and data platform capabilities
  2. Be an AI-native leader — leverage AI tools to drive rapid iteration, experimentation, and continuous product evolution
  3. Drive roadmap execution with a focus on reliability, scalability, ease of use, and time-to-data
  4. Establish a high-ownership culture with strong engineering fundamentals: design reviews, RCA, testing, and observability
  5. Partner with TPMs and stakeholders to ensure predictable, high-quality delivery

Skills

Required

  • 8–12+ years in software or data engineering
  • 3–5+ years managing engineering teams
  • Experience leading platform teams or large-scale data systems
  • Strong hands-on experience with distributed data processing (Spark, Flink, etc.)
  • batch pipelines at scale
  • AWS (preferred)
  • Deep understanding of data lake / lakehouse architectures
  • data modeling
  • workflow orchestration (Airflow, Temporal, etc.)
  • Proven ability to hire, mentor, and grow high-performing teams
  • Strong communication and cross-functional influence skills
  • ability to balance technical depth with strategic thinking

Nice to have

  • Experience with Apache Iceberg or Delta Lake
  • Familiarity with data observability tools
  • Experience with metadata and catalog systems (e.g., Atlan or similar)
  • Exposure to data governance frameworks and compliance standards

What the JD emphasized

  • AI products
  • AI-native leader
  • AI-friendly batch processing platform
  • AI agents
  • AI-native pipeline capabilities
  • petabyte scale
  • governed data platform
  • high-throughput
  • large-scale distributed data processing systems
  • modern lakehouse architecture
  • enterprise and regulatory requirements

Other signals

  • AI products
  • AI-native leader
  • AI-friendly batch processing platform
  • AI agents
  • AI-native pipeline capabilities