Databricks
Data and AI
StaffDesignatedSupportEngineer
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“Staff Designated Support Engineer at Databricks. Skills: Apache Spark, Distributed Computing, Customer Support, Problem Solving. Perform advanced Troubleshooting. Perform Root Cause Analysis”
What You'll Achieve.
Deliver high-touch specialized support; Deliver tailored technical solutions; Resolve performance and reliability issues; Detect early performance issues; Address customer challenges; Align solutions with business goals; Enhance the customer experience; Drive customer success
Industry & Context.
Triage and resolve complex product issues; Unblock customers’ most critical technical challenges; Advanced Proactive Problem Solving Skills; Anticipate, identify, and mitigate risks; Plan solutions for production challenges; Coordinate team efforts to solve problems
What They're Looking For.
Must Have
8–12 years of experience designing, building, and troubleshooting distributed computing applications, 4+ years delivering production-scale Spark/ML/AI solutions using Python, Java, or Scala, Hands-on expertise with Data Lakes, Hands-on expertise with SQL-based databases, Hands-on expertise with Cloud-based Data Warehousing/ETL tools like Snowflake, Redshift, Bigquery, etc, Deep knowledge of Spark core internals, Deep knowledge of Delta/Iceberg, Deep knowledge of JVM optimization, Deep knowledge of memory management, Proficiency in AI ecosystems like Machine Learning, Proficiency in AI ecosystems like Deep Learning, Proficiency in AI ecosystems like Generative AI, Practical experience with AWS, Azure, or GCP, Expertise in building and managing CI/CD pipelines, Expertise in monitoring and alerting systems, 3–5 years in customer-facing roles such as Technical Account Manager or Solutions Architect, Advanced Proactive Problem Solving Skills, Proven ability to anticipate, identify, and mitigate risks, Proven ability to plan solutions for production challenges, Effectively use sound business judgment, Effectively use risk avoidance, Effectively use subject matter expert resources, Coordinate team efforts to solve problems, Proven ability to work with cross-functional teams, Proven ability to work with senior leadership, Address roadblocks, Mitigate risks, Drive customer success, Creating impactful documentation for self-service solutions
Nice to Have
Knowledge of Spark UI metrics, Knowledge of Mosaic AI Model Service, Knowledge of DAGs, Knowledge of event logs, Knowledge of continuous monitoring, Knowledge of R&D teams, Knowledge of NOC teams, Knowledge of Rapid POCs, Knowledge of Databricks Engineering solutions, Knowledge of Spark/ML/AI runtime capabilities, Knowledge of playbooks, Knowledge of knowledge base, Knowledge of best practices in performance tuning, Knowledge of debugging, Knowledge of Databricks Features, Knowledge of new best practices processes/ programs, Knowledge of process improvements, Knowledge of customer experience enhancement, Knowledge of business review meetings, Knowledge of trusted advisor relationships, Knowledge of primary technical point of contact roles, Knowledge of Field Engineering teams, Knowledge of Sales teams, Knowledge of Product teams, Knowledge of customer engagements, Knowledge of technical presentations, Knowledge of production-impacting issues, Knowledge of customer trust building
What You'll Do.
Perform advanced Troubleshooting
Perform Root Cause Analysis
Resolve performance issues
Resolve reliability issues
Discover monitoring requirements
Optimize customer environments
Maintain knowledge base
Champion process improvements
Collaborate to enhance customer experience
Advocate for customers
Maintain customer relationships
Collaborate onsite with teams
Provide rapid solutions
Demonstrate technical expertise
How You'll Work.
Team & Collaboration
Partner closely with Field and Engineering teams; Work with R&D and NOC teams; Collaborate with cross-functional teams; Collaborate onsite with Field Engineering, Sales, and Product teams
Communication Scope
Communication; Technical presentations
Full Job Description
P-1553 As a Staff Designated Engineer and tech subject matter expert, you will partner closely with our Field and Engineering teams to deliver high-touch specialized support and tailored technical solutions for Databricks' largest and most strategic customers in the Digital Native Business (DNB) segment. In this customer-facing role, you will leverage your technical expertise in Apache Spark™ and other data technologies to triage and resolve complex product issues and unblock our customers’ most critical technical challenges. The Impact You Will Have Perform advanced Troubleshooting and Root Cause Analysis to resolve performance and reliability issues in Spark, SQL, Delta, Streaming, and Databricks runtime features using tools like Spark UI metrics, Mosaic AI Model Service, DAGs, and event logs. Discover requirements for continuous monitoring to detect early performance issues working with R&D and NOC teams to optimize the DNB customer environments. Build Rapid POCs, Test/Deploy/Monitor the solutions built by Databricks Engineering to address customer challenges and showcase advanced Spark/ML/AI runtime capabilities aligned with their business goals. Develop comprehensive playbooks and maintain a knowledge base of common issues and solutions for Spark, ML, and AI workflows. Train customer engineering and business teams on best practices in performance tuning, debugging, and effectively leveraging Databricks Features. Pilot new best practices processes/ programs, champion process improvements, and collaborate with cross-functional teams to enhance the customer experience. Advocate for customers in business review meetings and maintain close relationships as a trusted advisor and primary technical point of contact. Collaborate onsite with Field Engineering, Sales, and Product teams during customer engagements and technical presentations to provide rapid solutions to production-impacting issues, demonstrating deep technical expertise and building strong customer trust.
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