Manager - Technical Solutions (Big Data / AI)

Databricks
Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 12+ yearsEducation: bachelorsSkills: ["Leadership","Customer facing","Troubleshooting","Ownership","Team building"]

Lead and grow a regional Data & AI Technical Solutions Engineering team in India to ensure resiliency and smooth operation of customer production workloads, covering APJ/EMEA hours with global collaboration to provide 24x7 support. Drive adoption of Databricks products, engage with top customers, and partner with product engineering to improve reliability and performance for live data workloads.

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FursaFursa
Databricks
Databricks
6 months ago

Manager - Technical Solutions (Big Data / AI)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Lead and grow a regional Data & AI Technical Solutions Engineering team in India to ensure resiliency and smooth operation of customer production workloads, covering APJ/EMEA hours with global collaboration to provide 24x7 support. Drive adoption of Databricks products, engage with top customers, and partner with product engineering to improve reliability and performance for live data workloads.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Lead and grow a regional Data & AI Technical Solutions Engineering team in India, ensuring coverage during APJ and EMEA business hours with 24x7 cross-region coordination.
  • •Drive the technical expertise of the team to enable successful adoption of new Databricks products and features for customer production workloads.
  • •Engage with top customers to understand how to support their Data & AI strategy, in collaboration with field engineering and sales when required.
  • •Partner with internal product engineering teams to improve Databricks products and make them more supportable.
  • •Ensure high reliability of the Databricks platform to help customers achieve their business goals.

Key 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 and Data Engineering, ideally with Big Data & Cloud experience
  • •Experience leading teams in engineering, technical support, or consulting; customer facing experience is highly desirable
  • •Hands-on experience in production-scale Big Data (Spark, Hadoop, Kafka) or ML/AI/Data Science/Streaming projects
  • •Bachelor’s/Master’s in Computer Science or equivalent technical field
Experience:12+ yearsBig DataCloudData EngineeringAI
Education:Bachelor's
Skills:LeadershipCustomer facingTroubleshootingOwnershipTeam building
Languages:English
Tech Stack:SparkHadoopKafkaMachine LearningData ScienceStreaming

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn