Senior Technical Solutions Engineer - Platform

Databricks; São Paulo; Híbrido; USD 80.000 - 120.000; Tempo integral

Resumo da oferta

Join a forward-thinking company as a Senior Technical Solutions Engineer where you'll provide expert support for a leading analytics platform. In this hybrid role, you'll troubleshoot complex issues, assist customers in their journey, and advocate for their needs. Collaborate with engineering teams while strengthening your expertise in cloud technologies like AWS and Azure. This is a fantastic opportunity to make a significant impact in a dynamic environment that values innovation and customer success.

Qualificações

• 4+ years of experience in designing and maintaining applications.
• Expert knowledge in Python and solid SQL experience required.

Responsabilidades

• Troubleshoot and resolve customer issues related to the Databricks platform.
• Assist customers with third-party integrations and best practices.

Conhecimentos

Python

Java

Scala

SQL

Linux/Unix Administration

AWS

Azure

GCP

Communication Skills

Distributed Big Data Computing

Formação académica

Technical Degree

Equivalent Experience

Descrição da oferta de emprego

Senior Technical Solutions Engineer - Platform

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Senior Technical Solutions Engineer - Platform

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P-1382; This role is hybrid with 3 days in our São Paulo office.

As a Sr. Technical Solutions Engineer, you will provide technical support for Databricks Platform related issues and resolve any challenges involving the Databricks unified analytics platform. You will assist customers in their Databricks journey and provide them with the guidance and knowledge that they need to accomplish value and achieve their strategic goals using our products. They will look to you for answers to everything from basic technical questions to complex architectural scenarios spanning across the entire Big Data ecosystem. You will report to the Senior Manager of Technical Solutions.

The Impact You Will Have

• Troubleshoot and resolve complex customer issues related to Databricks platform
• Provide best practices support for custom-built solutions developed by Databricks customers
• Deliver suggestions for improving performance in customer-specific environments
• Assist with issues around third-party integrations with Databricks environment
• Demonstrate and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests
• Participate in the creation and maintenance of company documentation and knowledge articles
• Be a true proponent of customer advocacy
• Strengthen your AWS/Azure and Databricks platform expertise through learning and internal training programs
• Participate in weekend and weekday on call rotation
• Be a pioneer of our Databricks São Paulo office
  
  

What We Look For

• Minimum 4 years of experience designing, building, testing, and maintaining Python/Java/Scala based applications. Expert level knowledge in python is desired .
• Solid experience with SQL-based database is required.
• Linux/Unix administration skills.
• Hands-on experience with AWS, Azure or GCP.
• Candidate must possess excellent English written and oral communication skills.
• Experience with "Distributed Big Data Computing" environment.
• Technical degree or the equivalent experience.
  
  

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Customer Service and Engineering

• Industries

  Software Development

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