Backline Manager Apache Spark
Backline Manager Apache Spark
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Job Description
CSQ326R95
Job Description
At Databricks we are passionate about enabling data teams to solve the worlds toughest problems from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the worlds best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers and customerobsessed we leap at every opportunity to tackle technical challenges from designing nextgen UI/UX for interfacing with data to scaling our services andinfrastructure across millions of virtual machines. And were only getting started.
About the Team
The Backline Engineering Team serves as the critical bridge between Engineering and Frontline Support. We handle complex technical issues and escalations across the Apache Spark ecosystem and the Databricks Platform stack. With a strong focus on customer success we are committed to delivering exceptional customer satisfactionby providing deep technical expertise proactive issue resolution and continuous improvements to the platform.
We emphasize automation and tooling to enhance troubleshooting efficiency reduce manual efforts and improve the overall supportability of the platform. By developing smart solutions and streamlining workflows we drive operational excellence and ensure a seamless experience for both customers and internal teams.
The impact you will have
- Hire and develop top talent to build an outstanding team.
- Mentor engineers provide clear feedback and develop future leaders in the team.
- Establish and maintain high standards in troubleshooting automation and tooling to improve efficiency.
- Work closely with Engineering to enhance observability debugging tools and automation reducing escalations.
- Collaborate with Frontline Support Engineering and Product teams to improve customer escalations and support processes.
- Define a longterm roadmap for Backline focusing on automation tool development bug fixing and proactive issue resolution.
- Take ownership of highimpact customer escalations by leading critical incident response during Databricks runtime outages and major incidents.
- Participate in weekday and weekend oncall rotations ensuring fast and effective resolution of urgent issues. Balance realtime escalations with daytoday planning and multitasking efficiently to drive operational excellence and provide toptier support for missioncritical customer environments.
What We Look For:
- 1012 years of experience in Big Data/Data warehousing ecosystem with expertise on Apache Spark with at least 4 years in a managerial role.
- Proven ability to manage and mentor a team of Backline Engineers guiding career development
- Strong technical expertise in Apache Spark Databricks Runtime Delta Lake Hadoop and cloud platforms (AWS Azure GCP) to troubleshoot complex customer issues.
- Ability to oversee and drive customer escalations ensuring seamless coordination between Frontline Support and Backline Engineering.
- Experience in designing and developing best practices runbooks/playbooks and enablement programs to improve troubleshooting efficiency.
- Strong automation mindset identifying tooling and process gaps and leading efforts to build scripts and automated tools to enhance support operations.
- Skilled in collaborating with Engineering and Product Management teams contributing to support readiness programs and shaping product supportability improvements.
- Experience in building monitoring and alerting mechanisms proactively identifying longrunning cases and driving early intervention.
- Ability to handle critical technical escalations providing deep expertise in architecture best practices product functionality performance tuning and cloud operations.
- Strong interviewing and hiring capabilities identifying and recruiting top Backline talent with expertise in big data and cloud ecosystems.
Required Experience:
Manager
Employment Type
Full Time
