Databricks

Staff Designated Support Engineer

Databricks
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over 1 year ago

Base Salary

$142k - $251k/yr

Responsibilities

  • Perform advanced troubleshooting and root cause analysis for performance and reliability issues across Spark, SQL, Delta, streaming, and Databricks runtime features.
  • Define continuous-monitoring requirements with R&D and NOC teams to optimize customer environments.
  • Build rapid proofs of concept and test, deploy, and monitor solutions created by Databricks Engineering.
  • Develop playbooks and maintain a knowledge base for Spark, ML, and AI workflows.
  • Train customer engineering and business teams on performance tuning, debugging, and Databricks best practices.
  • Pilot process improvements and collaborate cross-functionally to enhance the customer experience.
  • Act as a trusted advisor and primary technical point of contact in customer business reviews.
  • Partner with Field Engineering, Sales, and Product teams onsite during customer engagements and technical presentations.

Requirements

  • 8–12 years of experience designing, building, and troubleshooting distributed computing applications.
  • At least 4 years of experience delivering production-scale Spark, ML, or AI solutions using Python, Java, or Scala.
  • Hands-on expertise with data lakes, SQL-based databases, and cloud data warehousing or ETL tools such as Snowflake, Redshift, and BigQuery.
  • Deep knowledge of Spark internals, Delta or Iceberg, JVM optimization, memory management, and AI ecosystems including machine learning, deep learning, and generative AI.
  • Practical experience with AWS, Azure, or GCP and with building and managing CI/CD pipelines, monitoring, and alerting systems.
  • 3–5 years of customer-facing experience in roles such as Technical Account Manager or Solutions Architect.
  • Ability to solve production challenges proactively, coordinate team efforts, manage risks, collaborate with senior leadership, and create impactful documentation.

Benefits

  • San Francisco Bay Area office-based role with 50% travel to client locations in San Francisco
  • Comprehensive employee benefits and perks, with region-specific details available through Databricks' benefits portal
  • Potential eligibility for annual performance bonus and equity

Tech Stack

Amazon RedshiftApache SparkAWSAzureDatabricksGoogle BigQueryGoogle Cloud PlatformJavaMLflowPythonScalaSnowflakeSQL

Categories

Solutions Engineering
Databricks

About Databricks

5,001-10,000 employees

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).

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