Designated Support Engineer - Databricks
View Company Profile- Job Title
- Designated Support Engineer
- Job Location
- San Francisco, California
- Job Description
P-1011
Databricks is looking for an experienced Designated Support Engineer with a passion for customer relations, project and account management. This role requires a self-motivated professional with a strong technical background that consistently brings a high level of commitment to customers and Databricks teammates. The ideal candidate brings strong communication and project management skills as well as strong technical background and the ability to strategically and tactically navigate the challenges with large, strategic customers.
The Designated Support Engineer will develop and maintain close relationships with a strategic group of customers. The ideal candidate will coordinate and prioritize business critical cases/events, and will be responsible for ensuring a high touch support experience.
The impact you will have:
- Work with Databricks' largest strategic accounts to provide high touch support experience
- Manage one or multiple accounts simultaneously
- Project manage all open support cases on a daily basis, sometimes multiple times a day to ensure forward progress.
- Facilitate correspondence with Engineering, Product Team, SMEs, Accounts Teams and inspire active engagement to ensure forward progress on support cases.
- Directly engage on business impacting situations and ensure recovery of functionality for the customer.
- Review upcoming customer events and planned production activities to identify potential problems, then plan and implement solutions
- Successfully engage with Senior Leadership, Technical and Functional staff to remove roadblocks, address delays and mitigate issues
- Own and drive escalated issues blocking production success
- Effectively use sound business judgment, risk avoidance and subject matter expert resources to coordinate team efforts to solve problems
- Carry out regular review of customer cases to identify trends
- Handle challenging situations in a fast paced environment
- Champion and advocate for customers and chair roundtables to ensure close communication and relationship building with key stakeholders
- Serve on and actively participate in customer steering committee meetings
- Drive customer self-sufficiency by ensuring customers understand how to engage with the Databricks Support organization and tools
- Pilot new programs and drive continuous improvement initiatives for production customers
- Participate in our 24x7 program
What we look for:
- 3 to 5 years of customer facing experience as Technical Account Manager, Designated Support Engineer or in related areas like implementation, Technical Support, or Solutions Architect
- Minimum 3 years’ experience designing and developing, testing, and sustaining Python/Java/Scala based applications required
- Demonstrated analytical and problem-solving skills, particularly those that apply to a “Distributed Big Data Computing” environment.
- 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
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Local Pay Range$102,400—$181,200 USDAbout Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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, please visit https://www.mybenefitsnow.com/databricks.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.
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Databricks Company Size
Between 2,000 - 10,000 employees
Databricks Founded Year
2013
Databricks Total Amount Raised
$3,996,999,936
Databricks Funding Rounds
View funding detailsSeries I
$500,000,000 USD
Series H
$1,600,000,000 USD
Series G
$1,000,000,000 USD
Series F
$400,000,000 USD
Series E
$250,000,000 USD
Series D
$140,000,000 USD
Series C
$60,000,000 USD
Series B
$33,000,000 USD
Series A
$14,000,000 USD