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Manager, Technical Solutions Spark

Databricks · Bengaluru

New
🇬🇧 English
Spark Hadoop Kafka Machine Learning Artificial Intelligence Data Science Streaming Distributed systems

Job description

About the role

The Manager (Data & AI) for Technical Solutions Engineering will lead and grow a regional team of Data & AI technical experts in India, ensuring resiliency and smooth operation of customer production workloads. The role oversees support operations during APJ and EMEA business hours and coordinates with global teams to provide 24x7 coverage.

Key responsibilities

  • Serve as the Tech Solutions Manager for an elite team covering EMEA & APJ business hours.
  • Grow the team’s technical expertise to support adoption of new Databricks products and features for production workloads.
  • Engage with top customers to understand and support their Data & AI strategy, collaborating with field engineering and sales as needed.
  • Partner with internal product engineering teams to improve product supportability and reliability.
  • Maintain high reliability of the Databricks platform to help customers achieve their business goals.

Required profile

  • At least 3 + years of people‑leadership experience as a manager.
  • 10 + years in the IT industry with a strong background in software engineering, specializing in data engineering, big‑data and cloud technologies.
  • Experience leading engineering, technical‑support or consulting teams; customer‑facing experience highly desirable.
  • Hands‑on production‑scale experience in at least two of: Big Data (Spark, Hadoop, Kafka), Machine Learning/AI projects, Data Science/Streaming use cases.
  • Strong background in customer‑facing support leadership roles.
  • Excellent troubleshooting skills across distributed systems.
  • Ownership mindset thriving in a fast‑paced, evolving environment.
  • Bachelor’s or Master’s degree in Computer Science or an equivalent technical field.

Required skills

  • Spark
  • Hadoop
  • Kafka
  • Machine Learning
  • Artificial Intelligence
  • Data Science
  • Streaming
  • Distributed systems

Questions fréquentes

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Source : ats:greenhouse

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Published 3 hours ago

Expires 1 month from now

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Databricks

Bengaluru