Databricks
Data and AI
SeniorDesignatedSupportEngineer
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“Senior Designated Support Engineer at Databricks. Skills: Apache Spark, Data Engineering, Cloud, Customer-Facing. 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 customers’ most critical technical challenges; Optimize DNB customer environments; Address customer challenges; Align capabilities with business goals; Drive customer success
Industry & Context.
Advanced Proactive Problem Solving Skills; Problem-solving skills; Identify and mitigate risks; Planning solutions; Coordinate team efforts to solve problems
What They're Looking For.
Must Have
5 – 8 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, SQL-based databases, and Cloud-based Data Warehousing/ETL tools like Snowflake, Redshift, Bigquery, etc, Deep knowledge of Spark core internals, Delta/Iceberg, JVM optimization, and memory management, Proficiency in AI ecosystems like Machine Learning, Deep Learning, and Generative AI, Practical experience with AWS, Azure, or GCP, Expertise in building and managing CI/CD pipelines, monitoring, and alerting systems, 3–5 years in customer-facing roles such as Technical Account Manager or Solutions Architect, Communication skills, Relationship-building skills, Problem-solving skills, Advanced Proactive Problem Solving Skills, Ability to anticipate, identify, and mitigate risks, Planning solutions for production challenges, Use sound business judgment, Risk avoidance, Subject matter expert resources, Coordinate team efforts to solve problems, Ability to work with cross-functional teams, 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
What You'll Do.
Perform advanced Troubleshooting
Perform Root Cause Analysis
Resolve performance issues
Resolve reliability issues
Discover requirements for continuous monitoring
Detect early performance issues
Develop comprehensive playbooks
Maintain a knowledge base
Train customer engineering teams
Pilot new best practices processes
Champion process improvements
Enhance customer experience
Advocate for customers
Maintain close relationships
Collaborate onsite with Field Engineering
Collaborate onsite with Sales
Collaborate onsite with Product teams
Provide rapid solutions
Demonstrate deep technical expertise
How You'll Work.
Team & Collaboration
Partner closely with Field and Engineering teams; Work with R&D teams; Work with NOC teams; Collaborate with cross-functional teams; Collaborate with senior leadership; Work with cross-functional teams; Work with senior leadership
Communication Scope
Communication skills
Process & Methodology
Planning solutions
Full Job Description
P-1553 As a Senior 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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