Manager, Technical Solutions Spark Databricks Bengaluru, India

Neura Market; Hinoba-an; On-site; PHP 11,292,000 - 15,056,000; Full time

Job summary

Databricks seeks a seasoned Manager (Data & AI) for Technical Solutions Engineering to lead a regional team of Data & AI specialists. The role focuses on resiliency, production workload optimization, and 24x7 coverage through global collaboration.

You will drive adoption of Databricks products and ensure reliable, scalable solutions for live customer workloads. You will partner with engineering and sales, mentor teams, and influence product direction while maintaining excellent customer

Qualifications

• 3+ years as a manager
• 10+ years in IT with software engineering/Data Engineering
• Experience leading teams in engineering, technical support, or consulting; customer facing experience desirable
• Hands-on in production-scale: Spark, Hadoop, Kafka; ML/AI projects; Data Science/Streaming
• Spark expertise is a big advantage
• Strong customer-facing support leadership background
• Excellent troubleshooting across distributed systems
• Bachelor’s/Master’s in Computer Science or equivalent technical field

Responsibilities

• Lead regional Data & AI technical solutions engineering team for APJ/EMEA with 24x7 coverage
• Grow team technical expertise to support Databricks platform adoption
• Engage with top customers to support business needs with Data & AI strategy
• Partner with product engineering to improve Databricks products
• Maintain high reliability of the Databricks platform to meet customer goals

Skills

People leadership

Customer-facing experience

Troubleshooting distributed systems

Ownership mindset

Strong communications

Education

Bachelor’s/Master’s in Computer Science

Tools

Spark

Hadoop

Kafka

Job description

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
• 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. 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.