Staff Designated Support Engineer

P-1553

As a Staff Designated Engineer and tech subject matter expert, you will partner
closely with our Field and Engineering teams to deliver high-touch specialized
support and tailored technical solutions for Databricks' largest and most
strategic customers in the Digital Native Business (DNB) segment. In this
customer-facing role, you will leverage your technical expertise in Apache
Spark™ and other data technologies to triage and resolve complex product issues
and unblock our customers’ most critical technical challenges. 

THE IMPACT YOU WILL HAVE

* Perform advanced Troubleshooting and Root Cause Analysis to resolve
performance and reliability issues in Spark, SQL, Delta, Streaming, and
Databricks runtime features using tools like Spark UI metrics, Mosaic AI
Model Service, DAGs, and event logs.
* Discover requirements for continuous monitoring to detect early performance
issues working with R&D and NOC teams to optimize the DNB customer
environments. 
* Build Rapid POCs, Test/Deploy/Monitor the solutions built by Databricks
Engineering to address customer challenges and showcase advanced Spark/ML/AI
runtime capabilities aligned with their business goals.
* Develop comprehensive playbooks and maintain a knowledge base of common
issues and solutions for Spark, ML, and AI workflows.
* Train customer engineering and business teams on best practices in
performance tuning, debugging, and effectively leveraging Databricks
Features.
* Pilot new best practices processes/ programs, champion process improvements,
and collaborate with cross-functional teams to enhance the customer
experience.
* Advocate for customers in business review meetings and maintain close
relationships as a trusted advisor and primary technical point of contact.
* Collaborate onsite with Field Engineering, Sales, and Product teams during
customer engagements and technical presentations to provide rapid solutions
to production-impacting issues, demonstrating deep technical expertise and
building strong customer trust.

WHAT WE LOOK FOR

* Technical Expertise in Big Data and Spark: 8–12 years of experience
designing, building, and troubleshooting distributed computing applications,
with 4+ years delivering production-scale Spark/ML/AI solutions using Python,
Java, or Scala.
* Data Engineering Specialization: Hands-on expertise with Data Lakes,
SQL-based databases, and Cloud-based Data Warehousing/ETL tools like
Snowflake, Redshift, Bigquery, etc
* Advanced Tech Skills: Deep knowledge of Spark core internals, Delta/Iceberg,
JVM optimization, and memory management, with additional proficiency in AI
ecosystems like Machine Learning, Deep Learning, and Generative AI.
* Cloud and CI/CD Skills: Practical experience with AWS, Azure, or GCP, coupled
with expertise in building and managing CI/CD pipelines, monitoring, and
alerting systems.
* Customer-Facing Experience: 3–5 years in customer-facing roles such as
Technical Account Manager or Solutions Architect, demonstrating strong
communication, relationship-building, and problem-solving skills.
* Advanced Proactive Problem Solving Skills: Proven ability to anticipate,
identify, and mitigate risks while planning solutions for production
challenges. Effectively use sound business judgment, risk avoidance and
subject matter expert resources to coordinate team efforts to solve
problems. 
* Collaboration and Leadership: Proven ability to work with cross-functional
teams and senior leadership to address roadblocks, mitigate risks, and drive
customer success while creating impactful documentation for self-service
solutions.

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
[https://twitter.com/databricks], LinkedIn
[https://www.linkedin.com/company/databricks] and Facebook
[https://www.facebook.com/databricksinc].

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
[https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing].

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.