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Senior Technical Solutions Engineer, Platform

P-362 - This role is hybrid with 3 days in our Heredia office. 

As a Senior 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

What we look for:

  • Minimum 4 years 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 TwitterLinkedIn 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.

What You Should Know About Senior Technical Solutions Engineer, Platform, Databricks

As the Senior Technical Solutions Engineer at Databricks in Heredia, Costa Rica, you're stepping into an exciting and pivotal role within a dynamic team that's shaping the future of data analytics and AI. This hybrid position allows you to balance work between home and our vibrant office. You'll be the go-to expert for customers navigating the complexities of the Databricks platform. Your day-to-day will involve troubleshooting intricate issues, sharing best practices, and helping clients optimize their Big Data solutions. You'll provide insightful recommendations that enhance customer performance and ensure smooth integrations with third-party services. Collaboration will be key as you work closely with engineering and escalation teams to resolve customer queries effectively. Additionally, you’ll contribute to the creation of valuable documentation and knowledge articles that empower our users. At Databricks, we believe in continuous learning, so you'll have ample opportunities to deepen your expertise in AWS, Azure, and Databricks technologies through training programs. Ultimately, your passion for customer advocacy and technical excellence will drive the customer's journey towards achieving their strategic goals. If you're ready to make a significant impact, we can’t wait to welcome you aboard to create innovative solutions together!

Frequently Asked Questions (FAQs) for Senior Technical Solutions Engineer, Platform Role at Databricks
What are the primary responsibilities of a Senior Technical Solutions Engineer at Databricks?

As a Senior Technical Solutions Engineer at Databricks, your primary responsibilities will include troubleshooting and resolving complex customer issues related to the Databricks platform. You'll provide best practices support for custom-built solutions developed by our customers and deliver tailored recommendations to improve performance in their specific environments. Additionally, you'll assist with integration problems, collaborate with engineering teams for issue resolution, and contribute to the creation of documentation and knowledge articles.

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What qualifications are required for the Senior Technical Solutions Engineer position at Databricks?

For the Senior Technical Solutions Engineer role at Databricks, candidates should have a minimum of 4 years of experience designing, building, and maintaining applications using Python, Java, or Scala. Proficiency in SQL databases and Linux/Unix administration is essential, along with hands-on experience in cloud platforms like AWS, Azure, or GCP. Excellent communication skills in English are also required to cater to our diverse customer base.

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What technical skills are emphasized for a Senior Technical Solutions Engineer at Databricks?

Technical skills emphasized for the Senior Technical Solutions Engineer position at Databricks include expert knowledge of Python, solid experience with SQL databases, and administration skills in Linux/Unix. Hands-on experience with cloud services such as AWS, Azure, or GCP, along with a background in distributed big data computing, are crucial for successfully addressing customer needs.

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What is the work environment like for a Senior Technical Solutions Engineer at Databricks?

The work environment for a Senior Technical Solutions Engineer at Databricks is hybrid, allowing for a mix of remote work and in-office collaboration in Heredia, Costa Rica. This flexibility fosters a dynamic culture where innovation thrives and employees can engage with their teams openly, while still enjoying a comfortable work-life balance.

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What opportunities for professional development exist for a Senior Technical Solutions Engineer at Databricks?

Databricks is committed to the professional development of its employees, offering numerous opportunities for continuous learning and training in advanced technical skills, particularly in the areas of AWS, Azure, and Databricks platform expertise. You will have access to knowledge-sharing sessions that enhance your capabilities and keep you updated with the latest industry trends.

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Common Interview Questions for Senior Technical Solutions Engineer, Platform
Can you explain your experience working with Python and how it relates to the Senior Technical Solutions Engineer role?

In your answer, emphasize your proficiency in Python and provide specific examples of projects you’ve worked on, highlighting how your skills can help solve customer issues and create custom solutions in the Databricks environment.

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How do you approach troubleshooting complex technical issues related to cloud platforms?

Discuss your systematic approach to troubleshooting, including gathering data, analyzing logs, and working collaboratively with engineering teams to expedite resolution. Highlight specific scenarios where you've previously resolved such issues.

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Describe a time when you provided exceptional customer support.

Use this opportunity to provide a story that showcases your commitment to customer advocacy, the strategies you employed to ensure a positive outcome, and the impact your support had on the customer’s success with the platform.

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What strategies do you use to stay updated with the latest technologies in big data and cloud platforms?

Mention resources you utilize, such as online courses, webinars, or technical blogs. Explain how continuous learning benefits your role at Databricks and how you can bring new insights to your team.

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How do you manage tight deadlines while ensuring high-quality technical support?

Explain your time management skills and prioritization techniques. Provide examples of how you successfully handled urgent requests without compromising the quality of support.

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What is your understanding of the Databricks unified analytics platform?

Share your knowledge of Databricks, discussing its key features and benefits to highlight your understanding of the platform's role in streamlining data analytics and how it can be leveraged by customers.

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How do you handle disagreements or conflicts within a technical team?

Discuss the importance of open communication and collaboration in resolving conflicts. Share an example where you successfully mediated a disagreement to reach a common goal.

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How would you describe the importance of documentation in your role?

Emphasize how comprehensive documentation aids in scalability and knowledge transfer within teams, and gives customers the resources needed to solve issues independently.

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What experience do you have with integrations between Databricks and third-party tools?

Discuss specific integrations you've worked on, mentioning any challenges faced and the outcomes. Highlight your ability to troubleshoot integration issues effectively.

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Why do you want to work as a Senior Technical Solutions Engineer at Databricks?

Tailor your response to showcase your passion for data and AI technologies, your alignment with Databricks’ mission, and your desire to contribute to customer success while growing as a technical expert within the company.

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Databricks, the data and AI company, helps data teams solve the world’s toughest problems.

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Full-time, hybrid
DATE POSTED
March 12, 2025

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