About the role

Aplyr's Quick Take

This role is about leading a large team of technical experts focused on supporting customer production workloads related to Data and AI. You'll manage operations during specific business hours and work closely with global teams to ensure continuous support. It's a leadership position, requiring experience in managing other managers and a strong technical background in data engineering.

Good fit

Ideal candidates have over 18 years in IT, with at least 6 years in leadership roles managing large teams. Strong customer-facing experience and a background in software engineering, particularly in Big Data and cloud technologies, will help you thrive here.

Worth noting

The role emphasizes collaboration with both customers and internal teams, which may appeal to those who enjoy cross-functional work. However, the requirement for managing a large team (100+ employees) may be daunting for some.

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Mission

The Director of Data & AI Support Engineering - Bangalore 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. Reporting to the Global Lead of Frontline Support Engineering - Data & AI - you are 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 India site leader 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 6+ years as a manager of managers.
18+ 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 large teams (100+ employees) 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 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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.

Skills & Tags

go machine learning ai data analytics product sales

Aplyr's read

Databricks is a hub for data-driven innovation, attracting talent in AI and big data to transform how organizations leverage data for strategic decisions.
Synthesized from recent postings & public sources

What's promising

•Databricks offers a cutting-edge platform integrating data science, engineering, and business analytics.
•The company is a leader in big data and AI, driving significant industry advancements.
•Strong emphasis on collaboration attracts top-tier talent in data analytics and AI fields.

What to watch

•High competition in cloud data analytics could impact market share.
•Rapid scaling may strain internal resources and affect company culture.
•Dependence on cloud infrastructure partners presents potential operational risks.

Why Databricks

•Databricks' Lakehouse architecture uniquely combines data lakes and warehouses.
•Focus on AI efficiency and optimization differentiates its research initiatives.
•Collaborative workspace design fosters innovation across diverse data teams.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Databricks

Databricks

databricks.com

View company

Databricks is a unified data analytics platform that accelerates innovation by unifying data science, engineering, and business. It provides a collaborative workspace for data teams to work with big data and AI, enabling organizations to make data-driven decisions.