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Senior Data & AI Technical Solutions Engineer

DatabricksSao Paulo, Brazil
On-site Full-time

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Experience Level

Senior

Qualifications

What we look for: At least 6 years of experience in designing, building, testing, and maintaining applications based on Python, Java, or Scala in typical project delivery and consulting environments. Familiarity with SQL databases or data warehouses (such as Oracle, Teradata, SQL Server, MySQL) and ETL technologies (like Informatica, DataStage, Talend, Fivetran). A minimum of 3 years of hands-on experience with two or more Big Data technologies such as Spark & Hadoop, Lakehouse architecture, etc.

About the job

P-993

Mission 

As a Senior Data & AI Technical Solutions Engineer, you will play an essential role in assisting our clients with debugging and maintaining stable production data pipelines, AI workflows, and more using the Databricks platform. You will become proficient in several product areas by advising a diverse range of customers and use cases across these technologies. Collaboration with various teams at Databricks is key to delivering an exceptional customer experience, whether working with product engineering teams or technical account managers. Technical Solutions Engineers (TSEs) are recognized for their proven experience in production troubleshooting and optimization, ensuring our customers' workloads operate smoothly and meet their strategic goals using the Databricks platform. Reporting to a TSE manager, you will be part of a renowned global support engineering organization celebrated for its technical expertise and commitment to outstanding customer service.

The impact you will have:

  • Serve as the initial contact for customer production challenges, providing analysis, troubleshooting, and resolution for data engineering and AI workloads. 
  • Conduct in-depth code-level analysis of customer workloads to resolve issues related to Databricks products, including Spark core internals, Spark SQL, Delta, DLT, and Model Serving.
  • Deliver exceptional customer support—demonstrate knowledge and empathy in communications via email and video, act urgently to find solutions, effectively manage escalations during incidents, and proactively work to prevent future issues for customers.   
  • Contribute to making Databricks products easier to use and enhancing the stability of customer production environments by working collaboratively with Engineering and Backline Support teams to identify areas for product enhancements. 
  • Develop expertise in deploying systems in Databricks and share your knowledge by contributing to wikis and other technical documentation for internal and external use by customers and partners.

About Databricks

Databricks is a global leader in data and AI, known for its innovative platform that simplifies cloud data management and analytics. By combining the best of data lakes and data warehouses, Databricks helps organizations make data-driven decisions faster and more effectively.

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