Senior Designated Support Engineer

Databricks
Bengaluru
Workplace: OnsiteFull timeFunction: Design (Product/UX/UI/Visual)Experience: 5-8 yearsSkills: ["Advanced troubleshooting","Risk mitigation","Collaboration","Leadership","Documentation"]

Serve as a senior, customer-facing technical subject matter expert for Databricks’ most strategic customers in the Digital Native Business segment. Triage and resolve complex performance and reliability issues across Spark, SQL, Delta, Streaming, and Databricks runtime features using advanced diagnostics. Build POCs, deploy and monitor solutions, create playbooks, train customer teams, and collaborate onsite with Field, Engineering, Sales, and Product to unblock production-critical challenges.

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FursaFursa
Databricks
Databricks
3 months ago

Senior Designated Support Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 14 minutes agoStatus: Live

Job Summary

Serve as a senior, customer-facing technical subject matter expert for Databricks’ most strategic customers in the Digital Native Business segment. Triage and resolve complex performance and reliability issues across Spark, SQL, Delta, Streaming, and Databricks runtime features using advanced diagnostics. Build POCs, deploy and monitor solutions, create playbooks, train customer teams, and collaborate onsite with Field, Engineering, Sales, and Product to unblock production-critical challenges.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Design (Product/UX/UI/Visual)
Seniority: Mid level

Key Responsibilities

  • •Perform advanced troubleshooting and root cause analysis to resolve Spark, SQL, Delta, Streaming, and Databricks runtime performance and reliability issues.
  • •Discover and implement continuous monitoring requirements with R&D and NOC teams to optimize DNB customer environments.
  • •Build rapid POCs and test/deploy/monitor solutions created by Databricks Engineering to address customer challenges.
  • •Develop comprehensive playbooks and maintain a knowledge base for common issues and solutions across Spark, ML, and AI workflows.
  • •Train customer engineering and business teams on performance tuning, debugging, and effective use of Databricks features; collaborate onsite with Field, Sales, and Product to provide rapid solutions.
Travel: Medium travel

Key Requirements

  • •5–8 years designing, building, and troubleshooting distributed computing applications, including 4+ years delivering production-scale Spark/ML/AI solutions using Python, Java, or Scala.
  • •Hands-on specialization in data engineering with Data Lakes, SQL-based databases, and cloud data warehousing/ETL tools such as Snowflake, Redshift, and BigQuery.
  • •Deep knowledge of Spark internals, Delta/Iceberg, JVM optimization, and memory management, plus proficiency in AI ecosystems (Machine Learning, Deep Learning, Generative AI).
  • •Practical experience with AWS, Azure, or GCP and building/managing CI/CD pipelines, monitoring, and alerting systems.
  • •3–5 years in customer-facing roles (e.g., Technical Account Manager or Solutions Architect) with strong communication, relationship-building, and problem-solving skills.
Experience:5-8 yearsBig dataDistributed computingData engineeringData lakesCloud data warehousingSparkMachine learningGenerative AICustomer-facing
Skills:Advanced troubleshootingRisk mitigationCollaborationLeadershipDocumentation
Languages:English
Tech Stack:Apache SparkSpark UISQLDeltaStreamingDatabricks runtime featuresMosaic AI Model ServiceDAGsEvent logsRapid POCsPythonJavaScalaJVM optimizationMemory managementMachine LearningDeep LearningGenerative AIAWSAzure

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