Senior Designated Support Engineer

Databricks
Japan
Workplace: OnsiteFull timeFunction: Design (Product/UX/UI/Visual)Experience: 8-12 yearsSkills: ["Communication","Problem-solving","Leadership","Collaboration"]

Join Databricks as a Staff Technical Designated Engineer to deliver high-touch, specialized support for our largest customers. You’ll troubleshoot Spark, SQL, Delta, and ML/AI workloads, build rapid POCs, create playbooks, and train customer teams while collaborating with Field, Engineering, Sales, and Product to accelerate production-ready solutions and strengthen customer trust.

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FursaFursa
Databricks
Databricks
3 months ago

Senior Designated Support Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Join Databricks as a Staff Technical Designated Engineer to deliver high-touch, specialized support for our largest customers. You’ll troubleshoot Spark, SQL, Delta, and ML/AI workloads, build rapid POCs, create playbooks, and train customer teams while collaborating with Field, Engineering, Sales, and Product to accelerate production-ready solutions and strengthen customer trust.
Location: Japan
Workplace: Onsite
Employment Type: Full time
Job Function: Design (Product/UX/UI/Visual)

Key Responsibilities

  • •Collaborate with Field Engineering, Sales, and Product teams to provide rapid technical solutions during customer engagements and presentations.
  • •Triage and resolve complex product issues and unblock critical technical challenges in Spark, SQL, Delta, and Databricks runtime features.
  • •Develop and maintain comprehensive playbooks and a knowledge base for Spark, ML, and AI workflows, enabling self-service solutions.
  • •Build rapid proofs-of-concept, test, deploy, and monitor solutions built by Databricks Engineering to address customer challenges and showcase runtime capabilities.
  • •Train customer engineering and business teams on best practices in performance tuning, debugging, and effectively leveraging Databricks features.

Key Requirements

  • •8–12 years of experience designing, building, and troubleshooting distributed computing applications, with 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, with proficiency in AI ecosystems like Machine Learning, Deep Learning, and Generative AI
  • •Practical experience with AWS, Azure, or GCP, coupled with 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, demonstrating strong communication, relationship-building, and problem-solving skills
Experience:8-12 yearsBig dataData engineeringCloudAIMachine learning
Skills:CommunicationProblem-solvingLeadershipCollaboration
Languages:English
Tech Stack:Apache SparkPythonJavaScalaSnowflakeRedshiftBigQueryDelta LakeIcebergAWSAzureGCPCI/CDSpark UIMosaic AI Model ServiceDatabricksMLflow

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn