2 months ago

Staff Designated Support Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Technical lead for high-touch, customer-facing support on large Databricks customers. You’ll troubleshoot Spark, SQL, Delta, and runtime issues, build rapid POCs, and develop playbooks while coordinating with Field, Engineering, and Sales teams. You’ll educate customers and internal staff on performance tuning, best practices, and solutions leveraging Spark, ML/AI runtimes and cloud data tooling.

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Design (Product/UX/UI/Visual)

Key Responsibilities

•Troubleshoot and perform root-cause analysis for Spark, SQL, Delta, and Databricks runtime issues to resolve production problems affecting customers.
•Build and deploy rapid proofs-of-concept and monitor solutions built by Databricks Engineering to address customer challenges.
•Develop comprehensive playbooks and a knowledge base for Spark, ML and AI workflows to enable self-service for customers.
•Train customer engineering and business teams on performance tuning and best practices for using Databricks features.
•Collaborate onsite with Field Engineering, Sales, and Product teams to provide rapid, trusted technical solutions and maintain customer relationships.

Key Requirements

•8–12 years of experience designing, building, and troubleshooting distributed computing applications, with 4+ years delivering production-scale Spark/ML/AI solutions using Python, Java, or Scala.

Experience:Big dataData engineeringCloud

Skills:CommunicationProblem-solvingLeadershipCross-functional collaboration

Languages:English

Tech Stack:Apache SparkPythonJavaScalaDelta LakeIcebergSpark UISnowflakeRedshiftBigQueryAWSAzureGCPCI/CD

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

Website LinkedIn

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Databricks

2 months ago

Staff Designated Support Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Design (Product/UX/UI/Visual)

Key Responsibilities

•Troubleshoot and perform root-cause analysis for Spark, SQL, Delta, and Databricks runtime issues to resolve production problems affecting customers.
•Build and deploy rapid proofs-of-concept and monitor solutions built by Databricks Engineering to address customer challenges.
•Develop comprehensive playbooks and a knowledge base for Spark, ML and AI workflows to enable self-service for customers.
•Train customer engineering and business teams on performance tuning and best practices for using Databricks features.
•Collaborate onsite with Field Engineering, Sales, and Product teams to provide rapid, trusted technical solutions and maintain customer relationships.

Key Requirements

•8–12 years of experience designing, building, and troubleshooting distributed computing applications, with 4+ years delivering production-scale Spark/ML/AI solutions using Python, Java, or Scala.

Experience:Big dataData engineeringCloud

Skills:CommunicationProblem-solvingLeadershipCross-functional collaboration

Languages:English

Tech Stack:Apache SparkPythonJavaScalaDelta LakeIcebergSpark UISnowflakeRedshiftBigQueryAWSAzureGCPCI/CD

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

Website LinkedIn