Manager, Technical Solutions Spark

Databricks
Bengaluru
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 10+ yearsEducation: bachelorsSkills: ["People leadership","Troubleshooting","Customer-facing leadership","Ownership mindset","Collaboration"]

Lead and grow a regional team of Data & AI technical experts in India to ensure resiliency and smooth operation of customers’ production workloads across APJ and EMEA coverage. Own complex, long-running data engineering support, focusing on performance optimization, stability on new Databricks features, and high platform reliability. Partner with product engineering and engage top customers to align Data & AI strategy with real business needs.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Databricks
Databricks
3 days ago

Manager, Technical Solutions Spark

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Lead and grow a regional team of Data & AI technical experts in India to ensure resiliency and smooth operation of customers’ production workloads across APJ and EMEA coverage. Own complex, long-running data engineering support, focusing on performance optimization, stability on new Databricks features, and high platform reliability. Partner with product engineering and engage top customers to align Data & AI strategy with real business needs.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Manager level

Key Responsibilities

  • •Serve as Tech Solutions Manager for an elite team of Data & AI specialists providing coverage across EMEA & APJ business hours.
  • •Grow the team’s technical expertise to support adoption of new Databricks products and features for customer production workloads.
  • •Resolve complex, long-running data engineering use cases, including performance optimization and ensuring resiliency of production jobs.
  • •Engage top customers to understand Data & AI strategy needs in collaboration with field engineering and sales as required.
  • •Partner with product engineering to improve Databricks products’ supportability and maintain high platform reliability.

Key Requirements

  • •Proven people leadership experience with at least 3+ years as a manager.
  • •10+ years in the IT industry with strong Software Engineering background and specialization in 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 production-scale experience in at least two of: Big Data (Spark, Hadoop, Kafka), Machine Learning/AI, Data Science/Streaming use cases; Spark expertise is an advantage.
  • •Bachelor’s/Master’s in Computer Science or equivalent technical field.
Experience:10+ yearsBig DataData Engineering
Education:Bachelor's in Computer Science
Skills:People leadershipTroubleshootingCustomer-facing leadershipOwnership mindsetCollaboration
Languages:English
Tech Stack:SparkHadoopKafkaMachine LearningArtificial IntelligenceData ScienceStreamingDistributed systemsData EngineeringCloud

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