Databricks: Staff Technical Solutions Engineer (Platform) — Bengaluru, India

About Databricks

Databricks develops a platform for data, analytics and AI. Its employer material describes bringing related capabilities together so organisations can build and scale applications, analytics and agents using their information. The advertised platform portfolio includes data-engineering, lakehouse, governance and AI-related products. Its business connects the infrastructure used to manage data with the tools used to derive insights or create applications, rather than treating those activities as entirely separate technology projects.

The position and its setting

Databricks lists Staff Technical Solutions Engineer (Platform) in Bengaluru, India, under reference 7845334002. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Support
• Employer listing date: 8 March 2025

Responsibilities and work described

• Frontline Support: Serve as the primary technical point of contact for escalated issues related to the Databricks Data Intelligence platform
• Delivery: expert-level troubleshooting, diagnostics, and resolution for complex problems affecting system performance and reliability
• Customer Interaction: Engage with customers directly to understand their technical issues and requirements
• Delivery: timely, clear, and actionable solutions to ensure high levels of customer satisfaction
• Incident Management: Lead the resolution of high-priority incidents, coordinating with various teams to address and mitigate issues swiftly
• Research / execution: thorough root cause analyses and develop preventive measures to avoid recurrence
• Collaboration: Work closely with engineering, product management, and DevOps teams to share insights, identify recurring issues, and drive improvements to the Databricks Data Intelligence platform
• Documentation and Knowledge Sharing: Create and maintain detailed documentation on support procedures, known issues, and solutions
• Contribution: to internal knowledge bases and create training materials to assist other support engineers
• Performance Monitoring: Monitor and analyze platform performance metrics to identify potential issues before they impact customers
• Implementation: optimizations and enhancements to improve platform stability and efficiency
• Platform Upgrades: Manage and oversee the deployment of Databricks Data Intelligence platform upgrades and patches, ensuring minimal disruption to services and maintaining system integrity
• Innovation and Improvement: Stay abreast of industry trends and advancements in Databricks technology
• Propose and drive initiatives to enhance platform capabilities and support processes
• Customer Feedback: Collect and analyze customer feedback to drive continuous improvement in support processes and platform features

Essential requirements and candidate background

• Minimum of 12 years of hands-on experience in a technical support or engineering role related to Databricks Data Intelligence platform, cloud data platforms, or Big-data tools:
• Technical Skills: A deep understanding of Databricks architecture and Apache Spark™, along with experience in cloud platforms like AWS, Azure, or GCP, is essential
• Capabilities in designing and managing data pipelines, distributed computing are required
• Proficiency: Unix/Linux administration, familiarity with DevOps practices, and skills in log analysis and monitoring tools are also crucial for effective troubleshooting and system optimisation
• Problem-Solving: Demonstrated ability to diagnose and resolve complex technical issues with a analytical and methodical approach
• Communication: verbal and written communication skills, with the ability to effectively convey technical information to both technical and non-technical stakeholders
• Customer Focus: experience in managing high-impact customer interactions and ensuring a positive customer experience
• Collaboration: Ability to work effectively in a team environment, collaborating with engineering, product, and customer-facing teams
• Education: Bachelor’s degree in Computer Science, Engineering, or a related field

Preferred experience and additional strengths

• Advanced degree or relevant certifications are highly desirable
• Experience: additional big data tools and technologies such as Hadoop, Kafka, or NoSQL databases
• Familiarity: automation tools and CI/CD pipelines
• Understanding: data governance and compliance requirements

Location, schedule and contract conditions

• Advertised location: Bengaluru, India

Benefits mentioned by the employer

• 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

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Staff Technical Solutions Engineer (Platform) vacancy is not an offer for reference 7845334002; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Databricks

Applications follow the official employer page linked below.

Open the official Databricks posting below and match the title and reference 7845334002.

Compare your qualifications and experience with the essential conditions for the Bengaluru, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: CI/CD

CI/CD experience should describe the path from a proposed change to a release. Identify the checks, build artefacts and deployment steps you worked on, together with the problem the pipeline solved.

Relevant skills

• NoSQL
• Hadoop
• Spark
• Kafka
• CI/CD
• AWS
• GCP
• Azure
• Google Cloud
• Linux
• Excel
• AI
• compliance