Director,technical Solutions (big Data/ Ai)

Databricks Databricks · Data AI · Bangalore, India · Exec Engineering

Director of Data & AI Support Engineering in Bangalore, leading a team focused on the resiliency and smooth operation of customer production workloads, resolving complex data engineering use cases, and optimizing performance for Databricks customers.

What you'd actually do

  1. Serve as the India site leader for an elite team of Data & AI specialists that can provide coverage of customers across EMEA & APJ business hours.
  2. Grow the technical expertise of the team to support successful adoption of new products and features of the Databricks platform for customer production workloads.
  3. Engage with top customers to understand how to support their business needs with their Data & AI strategy, in collaboration with field engineering and sales when required.
  4. Partner with internal product engineering teams to make Databricks products better and more supportable.
  5. Understand how to maintain high reliability of the Databricks platform to successfully achieve customer business goals.

Skills

Required

  • people leadership experience (6+ years as a manager of managers)
  • 18+ years in IT industry
  • Software Engineering background
  • specialization in Data Engineering
  • Big Data experience
  • Cloud experience
  • leading large teams (100+ employees) in engineering, technical support, or consulting
  • customer facing experience
  • hands-on experience in at least two of the following at production scale: Spark, distributed systems, customer-facing support leadership
  • 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 is a big advantage

What the JD emphasized

  • leading and growing a regional team of Data & AI technical experts
  • customer facing experience is highly desirable
  • production scale

Other signals

  • leading and growing a regional team of Data & AI technical experts
  • providing resiliency and smooth operation of customer production workloads
  • resolves complex and long-running data engineering use cases
  • performance optimization
  • ensuring resiliency of production jobs
  • stabilize workloads on new products and features