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Databricks
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Manager - Tech Solutions (Big Data / AI)
ICT
Company shared salary
NA
Market rate
₹450,000–₹800,000/mo (₹5,400,000–₹9,600,000/yr)
Based on similar roles (title + domain + location).
About the Company
Databricks is a data and AI company headquartered in San Francisco that provides the Databricks Data + AI Platform, used by more than 20,000 organizations worldwide-including major brands and a majority of Fortune 500 companies-to build and scale data and AI applications, analytics, and agents.
Responsibilities
- ● Lead and grow a regional team of Data & AI technical experts in India focused on ensuring resiliency and smooth operation of customer production workloads.
- ● Oversee support operations during APJ and EMEA business hours, coordinating with other global teams to provide 24x7 coverage.
- ● Resolve complex and long-running data engineering use cases for Databricks customers, including performance optimization, ensuring production job resiliency, and stabilizing workloads on new products and features.
- ● Serve as the Tech Solutions Manager for an elite team of Data & AI specialists covering customers across EMEA and APJ business hours.
- ● Grow the team's technical expertise to support successful adoption of new Databricks platform products and features for customer production workloads.
- ● Engage with top customers to understand their business needs and align Data & AI strategy, collaborating with field engineering and sales as 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.
Requirements
- ● At least 3+ years of people leadership experience as a manager.
- ● 12+ years in the IT industry with a strong background in software engineering specializing in data engineering and ideally with Big Data and cloud experience.
- ● Experience leading teams in engineering, technical support, or consulting; customer-facing experience is highly desirable.
- ● Hands on experience at production scale in at least two of the following: Big Data (Spark, Hadoop, Kafka); machine learning or AI projects; data science or streaming use cases.
- ● Spark expertise is a significant advantage.
- ● Strong background in customer-facing support leadership roles.
- ● Excellent troubleshooting skills across distributed systems.
- ● A strong ownership mindset and the ability to thrive in a fast paced, startup like environment with evolving needs.
- ● Bachelor's or Master's degree in Computer Science or an equivalent technical field.
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