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Staff Technical Solutions Engineer

CSQ326R94

As a Backline Technical Solutions Engineer you will help our customers to be successful with the Databricks platform by resolving important technical customer escalations and the support team. You will be the technical bridge between support and engineering and the first line of defense for engineering. You will ensure that all issues are vetted by you before it reaches the engineering team. You will report to the Manager of the Backline Escalations Team.

The impact you will have:

  • Troubleshoot and resolve complex customer issues related to the Databricks Unified Analytics Platform by analyzing the core component metrics and logs.
  • Provide suggestions and best practice guidance for improving performance in customer-specific environments and providing product improvement feedback.
  • Help the support team with detailed troubleshooting guides and runbooks.
  • Contribute to automation and tooling programs to make daily troubleshooting efficient.
  • Partner with the engineering team and spread awareness of upcoming features and releases.
  • Identify and contribute supportability features back into the product.
  • Demonstrate ownership and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests
  • Participate in weekend and weekday on-call rotation.

What we look for:

  • Minimum 6 years' experience in supporting a cloud, database or big data product.
  • Expert in two of the below areas and has experience with the rest of them:
    • SQL
    • Linux/OS troubleshooting
    • AWS, Azure or GCP related services
    • Big Data/Spark/Other distributed systems
    • Python or Java.
  • Comfortable with black box troubleshooting.
  • Bachelor's degree in Computer Science or a related field is required.

 

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

 

Zone 3 Pay Range
$102,000$180,400 USD

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.

Average salary estimate

$141200 / YEARLY (est.)
min
max
$102000K
$180400K

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What You Should Know About Staff Technical Solutions Engineer, Databricks

Exciting opportunity alert! Databricks is on the lookout for a Staff Technical Solutions Engineer based in the vibrant city of Dallas, Texas. In this pivotal role, you will become the key player in ensuring our customers are thriving on the Databricks platform. You will tackle challenging technical escalations and foster seamless communication between the support and engineering teams. Consider yourself the first line of defense, diligently vetting issues before they reach engineering. With over six years of experience in a cloud, database, or big data environment, you’ll leverage your expertise in SQL, Linux troubleshooting, or cloud services to troubleshoot and resolve complex customer issues. The role involves analyzing core component metrics and logs to provide tailored guidance for performance enhancement and product improvement feedback. You'll also be vital in creating troubleshooting guides, automating processes, and partnering with the engineering team to keep everyone in the loop about exciting new features and releases. So if you're ready to take on weekend and weekday on-call duties, demonstrate ownership in your problem-solving, and contribute significantly to customer success, then this Staff Technical Solutions Engineer position at Databricks could be your next big adventure! We can't wait to see how your skills will contribute to our mission of unifying data and AI worldwide.

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

As a Staff Technical Solutions Engineer at Databricks, your main responsibilities include troubleshooting complex customer issues on the Databricks Unified Analytics Platform, providing best practices for performance enhancement, creating detailed troubleshooting guides for the support team, and collaborating with engineering on customer escalations. Additionally, you'll contribute to automating processes and promoting upcoming features within the product.

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What qualifications do I need to be a Staff Technical Solutions Engineer at Databricks?

To qualify for the Staff Technical Solutions Engineer position at Databricks, candidates must have at least 6 years of experience in supporting cloud, database, or big data products. A bachelor's degree in Computer Science or a related field is required, and you should be an expert in at least two relevant areas such as SQL, Linux troubleshooting, or cloud services like AWS, Azure, or GCP.

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How does Databricks support its Staff Technical Solutions Engineers?

Databricks is committed to providing its Staff Technical Solutions Engineers with comprehensive training and resources. Engineers have access to ongoing education and skills development, as well as collaboration opportunities with cross-functional teams to enhance their technical skills and career growth within the company.

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

Working at Databricks as a Staff Technical Solutions Engineer means joining an inclusive and diverse culture where innovation thrives. The environment encourages collaboration, personal growth, and acute attention to customer success, making it both dynamic and rewarding.

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What is the salary range for a Staff Technical Solutions Engineer at Databricks?

The salary range for a Staff Technical Solutions Engineer at Databricks in the Dallas area is between $102,000 and $180,400 USD. Compensation is dependent on various factors, including specific skills, experience level, and location.

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Common Interview Questions for Staff Technical Solutions Engineer
Can you describe your experience with troubleshooting complex technical issues?

When answering this question, detail specific situations where you effectively identified and resolved technical issues, like escalations on cloud or big data products. Highlight your systematic approach to problem-solving and any particular tools or methodologies you employed.

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What methods do you use to stay updated with technology trends in cloud computing?

Share your routine for keeping up-to-date, such as following industry leaders on social media, participating in online forums, attending webinars, or completing relevant training courses. Mention any specific technologies you're particularly interested in.

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How would you prioritize escalated customer issues?

Describe your criteria for prioritization based on urgency and impact on the customer. Provide examples of how you've managed multiple escalations and your process for coordinating with other teams to resolve these issues.

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What is your experience with automation in troubleshooting?

Discuss specific instances where you've implemented automation tools to streamline troubleshooting efforts. EMBED examples of how this improved the efficiency of the support process and contributed to better customer satisfaction.

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How familiar are you with cloud services like AWS, Azure, or GCP?

Provide a brief overview of your experience with these cloud services, mentioning specific projects or tasks you've completed. Emphasize your expertise and areas where you excel, and include any certifications that may enhance your qualifications.

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Describe a time you provided valuable feedback to a product team.

Outline a specific experience where your insights led to product improvements or enhanced functionality. Focus on the impact your feedback had on customer satisfaction and the development process.

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How would you handle a situation where a customer is unhappy with the support they received?

Emphasize the importance of empathy and communication in this scenario. Discuss your approach to addressing their concerns, resolving the issue, and following up to ensure the customer feels valued and satisfied.

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Can you explain a technical concept to a non-technical audience?

Share an example of a time you successfully translated complex technical information into understandable terms for a client or colleague without a technical background. Highlight the methods you used to ensure clarity.

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What tools do you use for logging and monitoring performance?

Discuss the specific tools you’ve used for logging and monitoring systems, such as Splunk, New Relic, or ELK stack. Highlight your familiarity with their configurations and how they've assisted you in troubleshooting.

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What steps would you take if faced with a service outage?

Explain your approach during an outage situation, starting from immediate diagnostics to collaborating with engineering teams and updating customers. Detail the importance of communication and teamwork in crisis management.

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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, on-site
DATE POSTED
March 29, 2025

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