Databricks

Databricks

Posted via Greenhouse

Manager - Tech Solutions (Big Data / AI)

Posted Aug 5, 2026

Role at a glance

Salary
Not Disclosed
Location
Bengaluru, India
Work arrangement
On-site
Employment
Full-time
Education
Bachelor’s/Master’s in Computer Science or equivalent technical field.

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Role Summary

AI-generated

The Manager (Data & AI) for Technical Solutions Engineering leads and grows a regional team of Data & AI technical experts in India. The team supports Databricks customers across APJ and EMEA business hours by resolving complex data engineering use cases, improving production workload reliability and performance, and coordinating with global teams for 24x7 coverage.

What You'll Do

  • Lead a regional team of Data & AI specialists providing customer coverage across EMEA and APJ business hours.
  • Grow the team’s technical expertise to support adoption of new Databricks products and features for customer production workloads.
  • Engage with customers to understand their Data & AI strategy and business needs, collaborating with field engineering and sales when...
  • Partner with internal product engineering teams to improve Databricks products and their supportability.
  • Understand and help maintain high reliability of the Databricks platform to achieve customer business goals.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Proven people leadership experience; experience leading engineering, technical support, or consulting teams; hands-on production-scale experience in at least two listed Data & AI areas; strong customer-facing support leadership, distributed-systems troubleshooting, and ownership skills.

Required

  • At least 3+ years as a manager
  • 12+ years in the IT industry
  • Strong background in Software Engineering with specialization in Data Engineering
  • Experience leading teams in engineering, technical support, or consulting
  • Hands-on experience at production scale in at least two of: Big Data (Spark, Hadoop, Kafka); Machine Learning / Artificial Intelligence...
  • 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

Preferred

  • Big Data & Cloud experience
  • Spark expertise
  • Customer facing experience

Original job description

Content provided by the employer
View on company site

CSQ127R179

Mission

The Manager (Data & AI) for Technical Solutions Engineering will be responsible for leading and growing a regional team of Data & AI technical experts in India, focused on providing resiliency and smooth operation of customer production workloads.  This leader will 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.  This team 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.  You will be able to 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.

The impact you will have:

  • 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.

Competencies & Requirements

  • Proven people leadership experience: at least 3+ years as a manager 
  • 12+ 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.  Support experience is not required - but 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.

About Databricks

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 with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Databricks

About the company

Databricks

Large Enterprise

Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.

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