招聘
Benefits & Perks
•Development budget
•Parental leave
•401(k) matching
•Stock options
•Parental Leave
•Equity
Required Skills
SQL
SAP
Tableau
CSQ127R317
Mission:
At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Lakehouse platform. As a Sr. Technical Services Engineer you will play a critical role during this customer journey. You will directly work with customers to help them onboard and deploy Databricks in a production environment.
The impact you will have:
You will be part of a team responsible for onboarding new customers to the Databricks platform, as well as assisting existing customers to deploy new use cases on the platform.
You will become an expert on the Databricks platform and guide customers to make the best technical decisions to achieve their goals
You will actively work across multiple customer onboardings and track and report on their progress.
What we look for:
3+ years experience in a customer-facing technical role in pre-sales, professional services, consulting or customer success.
Experience in one or more of the following:
Data Engineering technologies (e.g., Spark, Hadoop, Kafka)
Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)
Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)
Solid understanding of the end to end data analytics workflow
Excellent time management and prioritization skills
Knowledge of public cloud platforms AWS, Azure or GCP would be a plus
Nice to have: Databricks Certification
About 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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About Databricks

Databricks
Series IDatabricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.
6,000+
Employees
San Francisco
Headquarters
$43B
Valuation
Reviews
4.2
9 reviews
Work Life Balance
3.5
Compensation
4.7
Culture
4.3
Career
4.5
Management
4.0
86%
Recommend to a Friend
Pros
Working on industry-leading data and AI platform
Excellent compensation with high equity upside
Strong engineering culture with Apache Spark creators
Cons
High intensity work environment with demanding deadlines
Work-life balance can suffer during key releases
Growing pains as company scales rapidly
Salary Ranges
25 data points
Mid/L4
Senior/L5
Mid/L4 · Corporate Development Manager
1 reports
$171,004
total / year
Base
$148,699
Stock
-
Bonus
-
$171,004
$171,004
Interview Experience
9 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Offer Rate
22%
Experience
Positive 22%
Neutral 67%
Negative 11%
Interview Process
1
Application Review
2
Recruiter/Phone Screen
3
Technical Interview/Coding Round
4
System Design Interview
5
Behavioral Interview
6
Final Round/Hiring Manager Interview
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
News & Buzz
Databricks reports surge in enterprise AI agent use - IT Brief Asia
Source: IT Brief Asia
News
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5w ago
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Source: The Business Journals
News
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Databricks appoints Jeremy Cooper as VP of Marketing in Asia Pacific & Japan to accelerate next phase of - ET Edge Insights
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News
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5w ago
Databricks secures $1.8 billion in credit - Techzine Global
Source: Techzine Global
News
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