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Manager, Technical Solutions SparkDatabricks · Bengaluru, India
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Databricks

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Manager, Technical Solutions Spark

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🗓️ Posted 2026-09-04 Bengaluru, India Hybrid ICT
💰 Salary Not shared 📊 Market ₹450,000–₹800,000/mo

About the Company

Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco.

Responsibilities

  • ● Lead and grow a regional team of Data & AI technical experts in India, focused on providing resiliency and smooth operation of customer production workloads.
  • ● 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.
  • ● Resolve 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.
  • ● Understand the real-world business problems our customers are solving with data and are committed to helping them achieve reliability and performance of their systems to meet their goals.
  • ● 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.
  • ● Grow the technical expertise of the team to support successful adoption of new products and features of the Databricks platform for customer production workloads.
  • ● 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.
  • ● Partner with internal product engineering teams to make Databricks products better and more supportable.
  • ● Understand how to maintain high reliability of the Databricks platform to successfully achieve customer business goals.

Requirements

  • ● Proven people leadership experience: at least 3+ years as a manager
  • ● 10+ years in the IT industry, with a strong background in Software Engineering with specialization in Data Engineering, ideally with Big Data & Cloud experience.
  • ● Experience leading teams either in engineering, technical support, or consulting.
  • ● Customer facing experience is highly desirable.
  • ● Hands-on experience in at least two of the following at production scale: Big Data (Spark, Hadoop, Kafka), Machine Learning / Artificial Intelligence projects, Data Science / Streaming use cases.
  • ● Spark expertise is a big advantage.
  • ● Strong background in customer-facing support leadership roles.
  • ● Excellent troubleshooting skills across distributed systems.
  • ● Strong ownership mindset with ability to thrive in a fast-paced, startup-like environment with evolving needs.
  • ● Bachelor's/Master's in Computer Science or equivalent technical field.