Databricks

Builds cloud software for data analysis and AI

Manager – Technical Solutions

Implementation & Technical Account ManagementConfirmed live in the last 24 hours

Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

At least 3 years of people leadership experience as a manager.
At least 10 years of experience in the IT industry, with a strong background in software engineering specializing in data engineering; Big Data and cloud experience are ideal.
Experience leading teams in engineering, technical support, or consulting.
Hands-on production-scale experience in at least two of the following: Big Data technologies such as Spark, Hadoop, or Kafka; machine learning or artificial intelligence projects; data science or streaming use cases.
A Bachelor's or Master's degree in Computer Science or an equivalent technical field.
Strong background in customer-facing support leadership roles.
Troubleshooting skills across distributed systems.
Ability to take ownership and work effectively in a fast-paced, startup-like environment with evolving needs.

Responsibilities

Lead and grow a regional team of Data and AI technical experts in India focused on resilience and smooth operation of customer production workloads.
Oversee support operations during APJ and EMEA business hours and coordinate closely with global teams to provide 24/7 support coverage across regions.
Resolve complex and long-running data engineering use cases raised by Databricks customers, including optimizing performance, ensuring production-job resilience, and stabilizing workloads on new products and features.
Serve as the Technical Solutions Manager for a team of Data and AI specialists providing customer coverage across EMEA and APJ business hours.
Grow the team's technical expertise to support successful adoption of new Databricks products and features for customer production workloads.
Engage with top customers to understand how to support their business needs and Data and AI strategies, collaborating with field engineering and sales when required.
Partner with internal product engineering teams to improve Databricks products and their supportability.
Maintain high reliability of the Databricks platform to help customers achieve their business goals.

Desired Qualifications

Customer-facing experience is highly desirable.
Expertise in Spark is a significant advantage.

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.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size: 10,001+
Company stage: Late Stage VC
Total funding: $32.1B
Headquarters: San Francisco, CA
Founded: 2013

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