Databricks · Bengaluru
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 speci...
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, 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
Staff Designated Support Engineer
Kategori
Data/IT
Plats
Publicerad
17 juli
Sista ansökningsdag
16 augusti
Källa