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Senior Backline Engineer, Spark™

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P-1381

As a Sr. Apache Spark™ Backline Engineer you will help our customers to be successful with the Databricks Data Intelligence 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 Senior Backline Manager of the Backline Escalations Team.

What your impact will be:

Troubleshoot, resolve and suggest deep code-level analysis of Spark™ to address complex customer issues related to Spark™ core internals, Spark™ SQL, Structured Streaming and Databricks Delta.
Provide best practices guidance around Spark runtime performance and usage of Spark™ core libraries and APIs for custom-built solutions developed by Databricks customers.
Help the support team with detailed troubleshooting guides and runbooks.
Contribute to automation and tooling programs to make daily troubleshooting efficient.
Work with the Spark™ Engineering Team and spread awareness of upcoming features and releases.
Identify Spark™ bugs and suggest possible workarounds.
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:

6+ years of industry experience developing, testing, and sustaining Python or Java or Scala-based applications.
Comfortable with compiling, building and navigating the "Spark™" source code.
Comfortable with identifying and applying patches/bug fixes to the Apache Spark™ source code.
Experience in Big Data/Hadoop/Spark/Kafka/Elasticsearch data pipelines.
Hands-on experience with SQL-based database systems.
Experience in JVM, GC, Thread dump-based troubleshooting is required.
Experience with AWS or Azure related services.
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.

Local Pay Range

$87,100—$154,000 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 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.

Average salary estimate

$120550 / YEARLY (est.)

min

max

$87100K

$154000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior Backline Engineer, Spark™, Databricks

Joining Databricks as a Senior Backline Engineer is an incredible opportunity to play a crucial role in ensuring that our customers succeed with the Databricks Data Intelligence platform. Located in Dallas, Texas, you'll be the technical bridge between our support and engineering teams, resolving significant customer escalations before they reach engineering. Your day-to-day will involve troubleshooting complex issues related to Spark™ core internals, SQL, and Databricks Delta, providing your expertise in Python, Java, or Scala to offer deep code-level analysis. You'll deliver best practices for Spark runtime performance, help create detailed troubleshooting guides, and contribute to our automation initiatives to enhance efficiency in diagnostics. Collaborating with the Spark Engineering Team, you'll keep your finger on the pulse of upcoming features while demonstrating ownership of customer issues and coordinating resolution strategies. This role not only requires strong technical skills but also involves being part of an on-call rotation, ensuring you're always in the loop about critical customer needs. If you have over six years of experience in developing and sustaining applications along with a Bachelor's degree in Computer Science, your expertise will surely make you a valued member of our dynamic team. At Databricks, we believe in fostering a culture that encourages growth, innovation, and collaboration, so bring your technical passion and let's enable our customers to harness the power of data together!

Frequently Asked Questions (FAQs) for Senior Backline Engineer, Spark™ Role at Databricks

What responsibilities does a Senior Backline Engineer at Databricks have?

As a Senior Backline Engineer at Databricks, you'll be responsible for troubleshooting and resolving technical issues related to the Databricks Data Intelligence platform, particularly Apache Spark™. You will analyze deep code-level problems, provide best practices, create troubleshooting guides, and automate processes to enhance efficiency. You'll also serve as a key liaison between support and engineering, ensuring proper issue escalation and resolution.