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Jobright.ai

Sr. Staff Designated Support Engineer

Jobright.ai, San Francisco, California, United States, 94199

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Jobright.ai Get AI-powered advice on this job and more exclusive features. Databricks is the data and AI company, specializing in unifying and democratizing data, analytics, and AI for organizations worldwide. The Sr. Staff Designated Support Engineer will partner with Field and Engineering teams to deliver specialized support and technical solutions, leveraging expertise in Apache Spark and data technologies to resolve complex product issues for strategic customers. Responsibilities: • 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. Qualifications: Required: • 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, 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 • Strong communication, relationship-building, and problem-solving skills • Proven ability to anticipate, identify, and mitigate risks while planning solutions for production challenges • Proven ability to work with cross-functional teams and senior leadership to address roadblocks, mitigate risks, and drive customer success • Ability to create impactful documentation for self-service solutions Company: Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, California, USA, with a team of 5001-10000 employees. The company is currently Late Stage. Databricks has a track record of offering H1B sponsorships. Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job

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