Full-Time
Staff Technical Solutions Engineer
Platform
Databricks
10,001+ employees
Unified data platform for analytics and AI
No salary listed
Senior, Expert
Bengaluru, Karnataka, India
In Person
- Minimum of 8 years of hands-on experience in a technical support or engineering role related to Databricks Data Intelligence platform, cloud data platforms, or big data technologies.
- A deep understanding of Databricks architecture and Apache Spark™, along with experience in cloud platforms like AWS, Azure, or GCP.
- Strong capabilities in designing and managing data pipelines, distributed computing.
- Proficiency in Unix/Linux administration, familiarity with DevOps practices, and skills in log analysis and monitoring tools.
- Demonstrated ability to diagnose and resolve complex technical issues with a strong analytical and methodical approach.
- Exceptional verbal and written communication skills, with the ability to effectively convey technical information to both technical and non-technical stakeholders.
- Proven experience in managing high-impact customer interactions and ensuring a positive customer experience.
- Ability to work effectively in a team environment, collaborating with engineering, product, and customer-facing teams.
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Serve as the primary technical point of contact for escalated issues related to the Databricks Data Intelligence platform.
- Provide expert-level troubleshooting, diagnostics, and resolution for complex problems affecting system performance and reliability.
- Engage with customers directly to understand their technical issues and requirements.
- Provide timely, clear, and actionable solutions to ensure high levels of customer satisfaction.
- Lead the resolution of high-priority incidents, coordinating with various teams to address and mitigate issues swiftly.
- Conduct thorough root cause analyses and develop preventive measures to avoid recurrence.
- Work closely with engineering, product management, and DevOps teams to share insights, identify recurring issues, and drive improvements to the Databricks Data Intelligence platform.
- Create and maintain detailed documentation on support procedures, known issues, and solutions.
- Contribute to internal knowledge bases and create training materials to assist other support engineers.
- Monitor and analyze platform performance metrics to identify potential issues before they impact customers.
- Implement optimizations and enhancements to improve platform stability and efficiency.
- Manage and oversee the deployment of Databricks Data Intelligence platform upgrades and patches, ensuring minimal disruption to services and maintaining system integrity.
- Stay abreast of industry trends and advancements in Databricks technology.
- Propose and drive initiatives to enhance platform capabilities and support processes.
- Collect and analyze customer feedback to drive continuous improvement in support processes and platform features.
- Experience with additional big data tools and technologies such as Hadoop, Kafka, or NoSQL databases.
- Familiarity with automation tools and CI/CD pipelines.
- Understanding of data governance and compliance requirements.
Databricks provides a platform that combines the features of data lakes and data warehouses, referred to as lakehouse architecture. This platform allows organizations to efficiently manage, analyze, and gain insights from their data. It caters to a diverse clientele, including data engineers, data scientists, and business analysts in sectors like finance, healthcare, and technology. Databricks streamlines data ingestion, management, and analysis through automated ETL processes, secure data sharing, and high-performance analytics. Additionally, it supports machine learning and AI workloads, enabling users to build and deploy models at scale. The company operates on a subscription-based model, generating revenue from platform access and professional services. Databricks aims to simplify data management and analytics for its users, making it easier for them to leverage their data for informed decision-making.
Company Size
10,001+
Company Stage
Debt Financing
Total Funding
$19.3B
Headquarters
San Francisco, California
Founded
2013
Simplify's Take
What believers are saying
- Databricks' $10 billion Series J funding indicates strong market confidence in its AI potential.
- The acquisition of Neon enhances Databricks' serverless computing solutions, offering scalable database options.
- Investment in Anvilogic highlights integration of security operations with data lakehouses for faster responses.
What critics are saying
- Increased competition from Snowflake could impact Databricks' market share and growth.
- Rapid AI advancements may lead to obsolescence if Databricks fails to innovate continuously.
- Significant debt financing of $5.25 billion could strain financial resources if growth lags.
What makes Databricks unique
- Databricks offers a unified platform combining data lakes and warehouses, known as lakehouse architecture.
- The platform supports collaborative data science and machine learning workflows, enhancing team productivity.
- Databricks integrates with various cloud services, facilitating seamless data management and analysis.
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Benefits
Extended health care including dental and vision
Life/AD&D and disability coverage
Equity awards
Flexible Vacation
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Employee Assistance Program (EAP)
Business travel accident insurance
Paid Parental Leave
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 0%2 year growth
↑ 1%Databricks announces $250 million in Series E funding round led by Andreesen Horowitz, raising company's valuation to $2.75 billion.
/PRNewswire-PRWeb/ -- RadiantGraph, the AI-powered platform for personalized healthcare engagement, today announced it has been named the Grand Prize winner of the Built-on Databricks Startup Challenge. Databricks selected RadiantGraph from a global pool of innovators for its ability to deliver real-world impact using Databricks' Data Intelligence Platform to unify complex healthcare data and drive personalized outreach at scale. SAN FRANCISCO June 26, 2025 The award includes up to in Databricks credits, in capital and a featured breakout session at the Data + AI Summit. The funds will continue to support expansion of the company's AI platform capabilities, driving scalable growth within health plans and health service organizations. "We are honored to be recognized by Databricks for our vision and the impact we are having on healthcare," said Anmol Madan , CEO and founder of RadiantGraph. "This award is not just a validation of our technology, but it is a sign that the healthcare industry is prime for the adoption of AI. Our goal is to help payers shift from fragmented, impersonal communication to intelligent, high-touch member engagement that improves outcomes, and create better experiences while targeting a reduction in both admin and medical costs." RadiantGraph uses the platform for data unification, machine learning workflows, and real-time engagement across digital channels, enabling health plans to implement campaigns in weeks instead of years. RadiantGraph's AI-led platform has already driven measurable results with higher adoption of programs, significant savings in outreach spend, and improvements in member experience. "We are thrilled to congratulate RadiantGraph on winning the Built-on Databricks Startup Challenge," said Steve Sobel , Global Leader for Startup and Venture Programs at Databricks. "RadiantGraph's innovative use of the Databricks Data Intelligence Platform exemplifies the transformative potential of data and AI in driving more personalized, scalable and smarter experiences in the healthcare industry. Their achievement highlights the creativity and technical excellence emerging from the Databricks ecosystem and we look forward to supporting RadiantGraph as they continue to drive meaningful impact for their customers and the industry at large." Founded in 2023, RadiantGraph recently announced its Series A round of funding , raising $11M to expand its AI-driven personalized engagement offering for health plans. The company is built exclusively for healthcare, with a HITRUST-certified, SOC 2–compliant, and HIPAA-compliant platform. Its proprietary Health Data Engine ingests and normalizes data from 100M+ records across disparate sources, enabling AI-driven engagement in as little as six weeks. The company also just launched its AI Voice Studio for healthcare organizations to deploy HIPAA-compliant, AI-driven voice agents that automate outreach, improve member experience, and close critical gaps in care. "The selection of a healthcare startup as the grand prize winner by a technology leader like Databricks signals a broader momentum and that mainstream tech is finally recognizing healthcare as both a critical challenge and a massive growth opportunity," added Madan. "With so much spend and complexity in the system, we have to invest in innovation that improves outcomes and drives efficiency. That's exactly what RadiantGraph is built to do - and we're just getting started." For more information about RadiantGraph's Voice AI capabilities, and the launch of its AI Voice Studio, visit www.radiantgraph.com About RadiantGraph RadiantGraph's Intelligent PersonalizationTM platform helps healthcare organizations to use AI to deliver personalized member engagement that drives adoption of health benefits, improves clinical outcomes, and reduces long-term costs. RadiantGraph is led by healthcare veterans, backed by True Ventures, M13, and notable angels - and was named one of Business Insider's "25 Healthcare Startups Set to Take Off" Media Contact Erin Farrell-Talbot , RadiantGraph, 1 9172329309, [email protected] www.radiantgraph.com SOURCE RadiantGraph
Databricks Ventures has invested in Anvilogic, a next-gen Security Operations Center (SOC) platform, to enhance detection engineering and triage. Anvilogic allows security teams to move beyond traditional SIEMs, offering flexibility and faster response times through scalable data lakehouses. The integration with Databricks enables detection engineering on lakehouse data. Anvilogic has been named Databricks’ Growth Built on Partner of the Year, marking a deeper partnership to modernize detection pipelines.
Databricks announced the acquisition of Neon, a company focused on serverless Postgres solutions, on May 14. Neon's co-founding team, known for their expertise in rearchitecting Postgres databases to achieve true storage and compute separation, will join Databricks. This move aims to provide developers with production-grade serverless Postgres services in the AI-native era.
Theom, an AI-native Data Operations Center platform, has raised $20 million in a Series A funding round led by Wing VC, with participation from Sentinel One, Snowflake, and Databricks. The funding will enhance product innovation, expand the team, and improve go-to-market strategies. Theom addresses data governance and security challenges in AI environments by providing real-time data insights and prioritization, positioning data as the new security boundary.