Job Description
Databricks is hiring a Senior Manager for Technical Solutions (Data and AI) in Bengaluru to lead and grow a regional team of data and AI experts who keep customers’ production workloads on the Databricks platform running smoothly, covering APJ and EMEA business hours as part of round-the-clock global support.
At a glance
- Role: Senior Manager, Technical Solutions (people leader)
- Location: Bengaluru
- Experience: 12+ years in IT, including 3+ years as a manager
- Technology: Spark (a big advantage), big data, ML/AI and streaming
- Requisition: CSQ127R179
- Apply: open until filled (re-checked 12 October 2026)
What you will do
- Manage a team of data and AI specialists covering customers across EMEA and APJ business hours
- Grow the team’s expertise so customers can adopt new Databricks products and features in production
- Engage top customers on their data and AI strategy, with field engineering and sales where needed
- Work with product engineering teams to make Databricks products better and easier to support
- Keep platform reliability high so customers meet their business goals
The team handles complex, long-running data engineering cases raised by Databricks customers, including performance tuning, keeping production jobs resilient and helping customers stabilise workloads on new products and features. The regional team works with teams in other regions to provide 24×7 coverage.
What Databricks is looking for
- At least 3 years of people management
- 12+ years in IT with a strong software engineering background specialising in data engineering, ideally with big data and cloud
- Experience leading engineering, technical support or consulting teams (support experience is not required; customer-facing experience is highly desirable)
- Hands-on production experience in at least two of: big data (Spark, Hadoop, Kafka), ML/AI projects, and data science or streaming
- Strong troubleshooting across distributed systems and customer-facing support leadership
- A bachelor’s or master’s degree in computer science or an equivalent technical field
Nice to have
- Spark expertise (the posting calls it a big advantage)
Pay and location
Databricks’ posting does not state a salary. The role is based in Bengaluru.
How to apply
Apply through the official Databricks job posting. Databricks’s posting does not give a closing date, so the role is open until filled; ResearchJobs.in will re-check this listing on 12 October 2026. Check the posting for location and work-authorisation details before you apply.
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Hiring institution: Databricks
Official advertisement: databricks.com
How to prepare for this application
- Leadership stories: prepare examples of growing engineers and handling escalations.
- Spark depth: be ready to debug a slow Spark job from its query plan.
- Follow-the-sun support: think about handovers between APJ, EMEA and other regions.
- Customer focus: describe a time you turned a production incident into a lasting fix.
- Platform knowledge: read up on Databricks' lakehouse products before the interview.
About Databricks
Databricks describes itself as the Data and AI company. More than 20,000 organisations worldwide, including adidas, AT&T, Mastercard and about 70% of the Fortune 500, use the Databricks Data + AI Platform to build and scale data and AI applications, analytics and agents. The company is headquartered in San Francisco and hires engineers and customer-facing technical staff in India.