CSQ426R137
Databricks is looking for a Senior Technical Solutions Manager to grow, lead and manage the Technical solutions engineers and support teams in India. The Senior Technical Solutions Manager is responsible for building and managing a regional team of technical experts focused on resolving highly complex and long-running support tickets raised by Databricks customers while overseeing the Support operations.
Impact you will have:
- Build and manage a team of Technical Solution Engineers
- Provide coaching and mentorship to the engineers
- Identify and implement process improvements to meet or exceed regional performance KPIs.
- Establish training plans and subject matter expertise within the team.
- Drive support escalations and establish cross-functional collaboration to manage and resolve issues.
- Be a player-coach and provide technical leadership to the regional support team.
- Coordinate with Sales and field teams to address account-level concerns and drive adoption and usage of the Databricks platform.
- Define quarterly goals and track them to completion to drive team growth and personal development.
- Scale the organization by developing processes and guidelines that promote operational efficiency
- Demonstrate a true sense of ownership and coordinate action items with engineering and escalation teams to achieve timely resolution of customer issues.
- Perform risk assessments and be a hands-on leader
What we are looking for:
- Minimum 15 years of experience in the Tech Industry - SaaS Support, building, testing, and maintaining
- Minimum 6+ years of managerial experience, leading a team of at least 6+ technical support engineers
- Proven experience working with cloud native applications/SaaS (AWS, Azure, GCP), big data platforms, or Apache Spark™ in a technical capacity
- Demonstrated experience in a customer-facing role managing a large regional team of technical support engineers.
- Excellent analytical and troubleshooting skills.
- Excellent customer facing, verbal and written communication skills
- A team-oriented attitude and a high degree of comfort working in a startup environment
- Hands-on experience in systems troubleshooting, networking, and Linux fundamentals, JVM troubleshooting, debugging of Java applications is preferred
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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.
Skills Required
- Minimum 15 years of experience in the Tech Industry (SaaS Support, building, testing, and maintaining)
- Minimum 6+ years of managerial experience leading a team of at least 6+ technical support engineers
- Proven experience with cloud-native applications/SaaS (AWS, Azure, GCP)
- Experience with big data platforms or Apache Spark in a technical capacity
- Demonstrated customer-facing experience managing a large regional team of technical support engineers
- Excellent analytical and troubleshooting skills
- Excellent customer-facing, verbal and written communication skills
- Team-oriented attitude and comfort working in a startup environment
- Hands-on experience in systems troubleshooting, networking, and Linux fundamentals
- JVM troubleshooting and debugging of Java applications
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Healthcare Strength — Company materials highlight comprehensive medical, dental, and vision coverage alongside mental-health resources, wellness reimbursements, and business travel insurance. Offerings are described as broad and modern, with core health coverage consistently emphasized.
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Parental & Family Support — Paid parental leave is explicitly called out, with details such as up to 20 weeks for birthing parents and up to 12 weeks for non-birthing parents in the U.S. Public materials also reference family-forming support, reinforcing the focus on families.
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Wellbeing & Lifestyle Benefits — Wellness programs and perks include gym reimbursement, periodic wellness events (e.g., yoga, massages), and in-office meals and snacks in many locations. Personal development funds and discounts further enhance lifestyle and growth support.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
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