M Manager - Tech Solutions (Big Data / AI) Bengaluru, IN Mid Spark Kafka machine learning

ContentBuffer; India; Vor Ort; INR 4.500.000 - 6.000.000; Vollzeit

Zusammenfassung

Databricks in India seeks a Manager (Data & AI) to lead and grow a regional team of Data & AI experts, ensuring 24x7 coverage across APJ/EMEA with coordinating with global teams. You will focus on resiliency and performance of customer production workloads and guide the team through complex, long-running data engineering use cases.

You will partner with field engineering, sales and product teams to meet customer data strategies, mentor engineers, and drive adoption of Databricks products.

Qualifikationen

• Proven leadership: 3+ years as a manager in IT teams.
• 12+ years in IT with strong Data Eng background and Big Data/Cloud experience.
• Experience leading teams in engineering, support, or consulting; customer-facing exposure is a plus.
• Hands-on production-scale experience in two of: Big Data (Spark/Hadoop/Kafka), ML/AI, Data Science/Streaming.

Aufgaben

• Lead regional Data & AI specialists across APJ & EMEA support hours.
• Grow technical expertise to drive adoption of Databricks products.
• Engage with top customers to align Data & AI strategies with field engineering and sales.
• Partner with product engineering to improve Databricks products and reliability.

Kenntnisse

People leadership

Data engineering

Big Data

Spark

Machine Learning

Data Science

Customer-facing

Troubleshooting

Cloud experience

Databricks Platform

Ausbildung

Bachelor’s/Master’s in Computer Science or equivalent

Tools

Databricks Platform

Spark

Hadoop

Jobbeschreibung

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 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 car