Senior Designated Support Engineer

Menlo Ventures; Bengaluru; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

Menlo Ventures seeks a Senior Designated Engineer to provide technical support for its top customers in Bengaluru, India. The role demands a strong grasp of Apache Spark and experience in resolving complex technical challenges.

Key responsibilities include troubleshooting performance issues, developing playbooks, and collaborating closely with teams to enhance customer experience. Candidates should possess 5-8 years of experience in data engineering, with a focus on customer engagement and strong technical skills.

Qualifications

• 5-8 years in designing, building, and troubleshooting distributed computing applications.
• Customer-facing experience as a Technical Account Manager or Solutions Architect is required.
• Hands-on expertise with Data Lakes and ETL tools.

Responsibilities

• Perform advanced troubleshooting and root cause analysis for performance issues.
• Build rapid POCs and maintain a knowledge base of solutions.
• Train customer engineering and business teams on best practices.

Skills

Big Data and Spark Expertise

Data Engineering

Problem Solving

Cloud and CI/CD

Customer Communication

Tools

Spark

SQL

Snowflake

AWS

Azure

Job description

P-1553

As a Senior 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: 5 – 8 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.

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.