Senior Technical Solutions Engineer - Spark & AI

Databricks Inc.

San Francisco (CA)

On-site

USD 142,000 - 251,000

Full time

9 days ago

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Job summary

Databricks Inc. is seeking a Sr. Staff Technical Solutions Engineer to partner with Field and Engineering teams.

You will deliver high-touch support and tailored technical solutions for the largest Databricks customers in the Digital Native Business segment, focusing on Spark, ML/AI workloads, and data technologies. You will triage complex issues, build rapid POCs, and train customer teams while collaborating with cross-functional groups onsite.

Qualifications

  • 8–12 years designing, building, and troubleshooting distributed systems.
  • 4+ years delivering production Spark/ML/AI solutions with Python/Java/Scala.
  • Experience with data lakes, data warehouses, and ETL tooling.
  • Strong communication and customer-facing skills.

Responsibilities

  • Perform advanced troubleshooting and root cause analysis for Spark/SQL/Delta/Streaming issues.
  • Collaborate with Field and Engineering to deliver high-touch technical solutions.
  • Develop playbooks and knowledge base for Spark, ML, and AI workflows.
  • Train customer teams on performance tuning and best practices.
  • Lead technical work with cross-functional teams and document self-service solutions.
  • Engage in on-site collaboration with Field Engineering, Sales, and Product teams.
  • Advocate for customers in business reviews and maintain trusted advisor relationships.
  • Pilot new processes and drive continuous improvements in customer success.
  • Travel ~20% to customer sites for engagements.

Skills

Spark
Python/Java/Scala
Big Data
Cloud
CI/CD
Customer-facing

Tools

Spark UI metrics
Delta
Iceberg
DAGs
Mosaic AI Model Service

Job description

Databricks Inc. is seeking a Sr. Staff Technical Solutions Engineer to partner with Field and Engineering teams.

You will deliver high-touch support and tailored technical solutions for the largest Databricks customers in the Digital Native Business segment, focusing on Spark, ML/AI workloads, and data technologies. You will triage complex issues, build rapid POCs, and train customer teams while collaborating with cross-functional groups onsite.

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