Databricks
Sr Designated Support Engineer
$142K–$251K
San Francisco, California · Senior · Full-time · Posted Jan 30, 2025
- Experience
- 8–12 years in distributed computing; 4+ years delivering production-scale Spark/ML/AI solutions; 3–5 years in customer-facing roles.
- Visa sponsorship
- If export-controlled technology or source code is required, the employer may decide whether to apply for a U.S. government license and may decline to proceed with an applicant on that basis.
About the job
Provides high-touch technical support and tailored solutions to strategic customers, resolving complex Databricks performance and reliability issues and helping them use data and AI capabilities effectively.
What you'll do
- Troubleshoot and perform root-cause analysis for Spark, SQL, Delta, streaming, and Databricks runtime issues; build and validate solutions.
- Partner with Field, Engineering, R&D, and NOC teams to monitor and optimize customer environments, pilot improvements, and advocate for customers.
- Develop playbooks and knowledge resources, train customer teams, and serve as a trusted technical contact during customer engagements.
What they ask for
- 8–12 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 expertise with data lakes, SQL-based databases, and cloud data warehousing/ETL tools.
- Deep knowledge of Spark internals, Delta/Iceberg, JVM optimization, and memory management; practical experience with AWS, Azure, or GCP and CI/CD pipelines.
- 3–5 years in customer-facing roles such as Technical Account Manager or Solutions Architect.
Pay
$141,700 — $250,800 USD (salary range)
Tools
Apache Spark, Python, Java, Scala, Snowflake, Redshift, Bigquery, AWS
AI focus
Supports customer ML, AI, and Generative AI workflows; builds proofs of concept showcasing Spark/ML/AI runtime capabilities.
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