Director of Engineering (lakeflow)

Databricks Databricks · Data AI · Bangalore, India · Executive Engineering - Pipeline

Databricks is seeking a Director of Engineering to lead their Lakeflow Connect organization in India. This role involves leading a team that builds data infrastructure, specifically focusing on providing ready-to-use connectors for various data sources to ingest data into the Lakehouse. The position requires experience in building and managing large-scale distributed systems and high-performance teams, with a focus on cloud platforms and cross-functional collaboration with product management.

What you'd actually do

  1. Solve real business needs at a large scale by applying your software engineering
  2. Ensure consistent delivery against milestones and strong alignment with the field working "two-in-a-box" with product leadership
  3. Evolve organizational structure to align with long term initiatives, build strong "5 ingredient" teams with good comms architecture
  4. Manage technical debt, including long term technical architecture decisions and balance product roadmap
  5. Leading and participating in technical, product, and design discussions

Skills

Required

  • 15+ years of industry experience building and supporting large-scale distributed systems
  • Building, growing, and managing high-performance teams
  • Ability to attract and hire engineers who meet the Databricks hiring principles
  • Existing experience building and running cloud platforms _-or-_ demonstrated ability to quickly learn new concepts in the SaaS space (e.g technical background and fast learner)
  • Experience working cross-functionality with product management and directly with customers; ability to deeply understand product and customer personas
  • BS in Computer Science or Masters or PhD

What the JD emphasized

  • 15+ years of industry experience building and supporting large-scale distributed systems
  • Building, growing, and managing high-performance teams
  • Existing experience building and running cloud platforms _-or-_ demonstrated ability to quickly learn new concepts in the SaaS space (e.g technical background and fast learner)
  • Experience working cross-functionality with product management and directly with customers; ability to deeply understand product and customer personas