Manager - Tech Solutions (big Data / Ai)

Databricks Databricks · Data AI · Bangalore, India · Support

Manager for a team of Data & AI technical experts in India, responsible for leading and growing the team to ensure resiliency and smooth operation of customer production workloads on the Databricks platform. The role involves supporting EMEA & APJ business hours, engaging with customers, and partnering with product engineering teams.

What you'd actually do

  1. leading and growing a regional team of Data & AI technical experts in India
  2. oversee support operations during APJ and EMEA business hours with close alignment with other global teams to ensure 24x7 support coverage through coordination with other regions
  3. resolves complex and long-running data engineering use cases raised by Databricks customers to support the success of live use cases - which includes performance optimization, ensuring resiliency of production jobs, helping customers stabilize workloads on new products and features, and more
  4. Serve as the Tech Solutions Manager for an elite team of Data & AI specialists that can provide coverage of customers across EMEA & APJ business hours
  5. Grow the technical expertise of the team to support successful adoption of new products and features of the Databricks platform for customer production workloads

Skills

Required

  • people leadership experience (3+ years)
  • IT industry experience (12+ years)
  • Software Engineering background with specialization in Data Engineering
  • Big Data & Cloud experience
  • Experience leading teams in engineering, technical support, or consulting
  • Hands-on experience in at least two of the following at production scale: Spark expertise is a big advantage
  • Strong background in customer-facing support leadership roles
  • Excellent troubleshooting skills across distributed systems
  • Strong ownership mindset
  • Bachelor’s/Master’s in Computer Science or equivalent technical field

Nice to have

  • Spark expertise

What the JD emphasized

  • customer facing experience is highly desirable