Databricks
Data and AI
StaffDesignatedSupportEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Staff Designated Support Engineer at Databricks. Skills: Apache Spark, Data Engineering, Cloud, Customer Support. Perform advanced Troubleshooting. Perform Root Cause Analysis”
What You'll Achieve.
Deliver high-touch specialized support; Deliver tailored technical solutions; Resolve complex product issues; Unblock customer technical challenges; Optimize customer environments; Address customer challenges; Showcase advanced capabilities; Enhance customer experience; Provide rapid solutions
Industry & Context.
Advanced Proactive Problem Solving Skills; Problem-solving skills
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, 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, Practical experience with AWS, Practical experience with Azure, Practical experience with GCP, Expertise in building and managing CI/CD pipelines, Expertise in monitoring, Expertise in alerting systems, 3–5 years in customer-facing roles, Advanced Proactive Problem Solving Skills, Proven ability to work with cross-functional teams, Proven ability to work with senior leadership
Nice to Have
Knowledge of Snowflake, Knowledge of Redshift, Knowledge of Bigquery, Proficiency in Machine Learning, Proficiency in Deep Learning, Proficiency in Generative AI
What You'll Do.
Perform advanced Troubleshooting
Perform Root Cause Analysis
Resolve performance issues
Resolve reliability issues
Discover monitoring requirements
Maintain knowledge base
Pilot new best practices
Champion process improvements
Collaborate with cross-functional teams
Advocate for customers
Maintain close relationships
Collaborate onsite with Field Engineering
Collaborate onsite with Sales
Collaborate onsite with Product teams
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 with senior leadership; Work with Field Engineering; Work with Sales; Work with Product teams
Communication Scope
Communication skills
Full Job Description
P-1554 As a Staff Technical 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 custo
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