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CSQ128R63
Databricks is seeking an experienced Premier Support Engineer with a strong technical foundation and a passion for customer engagement. This self-motivated professional will demonstrate high commitment to both customers and internal teams, with excellent communication, project management, and problem-solving skills. In this role, the Designated Support Engineer will build and maintain close relationships with strategic customers, manage and prioritize critical issues, and ensure a high-touch, proactive support experience.
The impact you will have:
- Manage large strategic accounts to provide high-touch support experience
- Project manage all open support cases to expedite support ticket closure
- Facilitate customer correspondence with Engineering, Product Team, SMEs, and Accounts Teams to advance tickets toward resolution
- Directly engage on business-impacting situations and ensure recovery of functionality for the customer.
- Successfully engage with Senior Leadership, Technical and Functional staff to remove roadblocks, address delays and mitigate issues
- Effectively use sound business judgment, risk avoidance and SME resources to coordinate team efforts to solve problems
- Carry out regular reviews of customer cases to identify trends
- Champion and advocate for customers and chair roundtables to ensure close communication and relationship building with key stakeholders
- Drive customer self-sufficiency by ensuring customers understand how to engage with the Databricks Support organization and tools
What we look for:
- 5+ years of customer-facing experience as a Support Engineer, Technical Account Manager, DSE or in related areas
- Minimum 3 years’ experience designing and developing, testing, and sustaining Python/Java/Scala-based applications required
- Highly effective with project managing multiple tasks and work streams, driving them to conclusion
- Demonstrated analytical and problem-solving skills, particularly those that apply to a “Distributed Big Data Computing” environment.
- Excellent executive presence. You are an excellent communicator (written and verbal skills), with demonstrable customer communication and coordination efforts, and the ability to take complex technical ideas and translate them to non-technical stakeholders
- Language Proficiency: professional working proficiency in both Mandarin and English (both written and verbal).
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
- 5+ years of customer-facing experience as a Support Engineer, Technical Account Manager, Designated Support Engineer, or in a related role.
- At least 3 years of experience designing, developing, testing, and sustaining applications using Python, Java, or Scala.
- Ability to project manage multiple tasks and workstreams through completion.
- Demonstrated analytical and problem-solving skills in distributed big data computing environments.
- Excellent written and verbal communication skills, executive presence, and ability to explain complex technical concepts to nontechnical stakeholders.
- Professional working proficiency in Mandarin and English, both written and verbal.
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 — Healthcare coverage is described as comprehensive, including medical, dental, and vision for employees and dependents, plus dedicated mental-health resources and an EAP. Wellness and gym reimbursements further support wellbeing.
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Equity Value & Accessibility — Equity grants (RSUs/stock options) are highlighted as a major part of compensation and are often viewed as attractive. Occasional tender-offer liquidity and performance bonuses reinforce total rewards.
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Parental & Family Support — Paid parental leave, fertility benefits, and subsidized backup dependent care are emphasized. Family medical leave and caregiver support also feature in the package.
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.
