Manager, Technical Solutions (Big Data / AI), Databricks

India, Bangalore
March 25, 2026
Full Time

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Job Description

Databricks is hiring a Manager Technical Solutions Big Data AI to lead teams of data and AI specialists, oversee customer support operations, and collaborate with engineering to optimize system performance. The role focuses on driving successful implementations and helping organizations maximize value from analytics platforms.

Job ID: CSQ127R179

Date Posted: NA

Expiration Date: NA

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Main Duties

  • Develop a team of Data and AI professionals who serve customer needs in your designated region.
  • Services throughout APJ and EMEA territories while providing round-the-clock service.
  • Enterprise clients to identify their business requirements and technical problems.
  • Implementation of new features and products from Databricks.
  • Engineering teams will work together with you to enhance platform security.
  • Both peak system performance and operational stability for customer production systems.
  • Handle advanced data engineering tasks and artificial intelligence workloads which include system optimization and stabilization.

Essential Qualifications

  • 3+ years of experience leading technical teams. 
  • Over twelve years of IT experience which includes expertise in software engineering and data engineering. 
  • Experience using Big Data technologies including Spark and Hadoop and Kafka. 
  • Machine Learning and Artificial Intelligence and Data Science workloads. 
  • Demonstrates exceptional ability to diagnose problems that occur in distributed computer systems. 
  • Experience working directly with customers in technical support and consulting and engineering positions. 
  • Bachelor’s or Master’s degree in Computer Science or a related technical field to qualify for this position. 
  • Ownership skills which enable him to succeed in high-speed work environments.

Preferred Qualifications

  • Implementing Apache Spark for operational use at production capacity. 
  • Experience of using cloud data platforms which operate on distributed systems. 
  • Demonstrates strong capacity to work together with teams that operate in different locations across the world. 
  • Experience working with enterprise customers and implementing large-scale systems throughout their professional career. 
  • Leadership to teams while leading them towards achieving exceptional technical standards.

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