P-1381

At Databricks, we are passionate about enabling Data & AI teams to solve the world's 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

world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by

engineers, we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for data interaction to

scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

ABOUT THE TEAM:

The Backline Engineering Team serves as the critical bridge between Frontline Support and Engineering. We handle complex technical

issues and escalations across the Data and AI ecosystem. With a strong focus on customer success, we are committed to delivering

exceptional customer satisfaction by providing deep technical expertise, proactive issue resolution, and continuous platform

improvements. We emphasise automation and tooling to enhance troubleshooting efficiency, reduce manual efforts, and improve the

overall supportability of the platform and the health of our products. By developing smart solutions and streamlining workflows,

we drive operational excellence and ensure a delightful experience for both customers and internal teams.

WHAT YOUR IMPACT WILL BE:

Deep Dive Troubleshooting: Conduct deep-dive forensics into Spark core internals and the broader Databricks Data and AI

ecosystem to resolve high-priority architectural failures and complex system anomalies.

Root Cause Analysis: Perform advanced code-level analysis and resource profiling to identify and mitigate systemic root causes,

ensuring the stability and reliability of high-scale production workloads.

Architectural Optimization: Optimise architectural performance across the Data and AI stack by refining execution parameters

and enforcing best practice strategies to maximise resource efficiency and throughput.

Product Improvements: Analyse global issue trends and patterns to partner directly with Product Engineering, influencing the

product roadmap and driving initiatives that enhance long-term supportability.

Scalability & Tooling: Develop reproduction frameworks, automated workflows, and AI-driven diagnostic tools that translate

complex backline findings into standardised resolution paths to empower and scale the broader organisation.

WHAT WE LOOK FOR:

We are looking for customer-obsessed candidates with 10+ years of relevant experience, including deep expertise in one of the

following three specialized tracks, along with proven experience in managing both customers and technical stakeholders. Since each

track calls for a different set of technical capabilities, we’re looking for excellence in one area rather than proficiency in

all:

Data Engineering Track: Expertise in large-scale big data solutions and ETL pipelines using Spark, Delta Lake, or Hive. Strong

experience troubleshooting failures, diagnosing performance issues, and identifying root causes. Demonstrated problem-solving

ability and understanding of data engineering best practices to ensure reliable, efficient workflows. Solid hands-on

programming skills in Python, SQL, or Scala.

Product Supportability Track: Deep understanding of distributed system internals. Ability to perform code-level root-cause

analysis and profiling (using metrics and heap/thread dumps) in Java, Scala, or Python. Proven record of contributing to bug

fixes and mentoring other engineers.

AI Track: Experience with large-scale machine learning and generative AI systems, including LLM-based applications and

agent-driven workflows. Strong grasp of model training, evaluation, and deployment in distributed environments. Experience

managing the ML lifecycle, including governance and operationalisation. Skilled in diagnosing and optimising distributed ML

workloads for performance and scalability.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and

represents the expected 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 anticipates utilizing 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

$170.40—$255.60 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 click here.

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.

Roll

Senior Staff Backline Engineer - Data & AI

Kategori

Kundtjänstpersonal

Plats

Dallas

Publicerad

17 juli

Sista ansökningsdag

17 augusti

Källa

Arbetsgivarens hemsida

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