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Benefits & Perks
•Team events and activities
•Flexible work arrangements
•Generous paid time off and holidays
•Comprehensive health, dental, and vision insurance
•Flexible Hours
•Healthcare
Required Skills
Python
JavaScript
Node.js
FEQ426R542
As a Sr. Technical Enablement Specialist at Databricks, you will apply your expertise in enablement to lead the development of enablement materials for Databricks Technical Support Engineers, including curation of content, collaboration with SMEs and/or Technical Curriculum Developers. Programs in your portfolio can include onboarding and everboarding motions focused on developing and maintaining technical and soft skills for Technical Support Engineers.
As a member of the Databricks Support Enablement Team, you’ll be responsible for (1) keeping up to date with the latest and greatest that Databricks has to offer when it comes to Support, (2) work with our enablement team to fully understand the business needs and requirements for Support, (3) create high-impact programs for Support, and (4) work with a team of technical enablement specialists to curate and design content needed for programs.
Outcomes
-
Use your Databricks and Enablement expertise to lead the design, curate, and maintain enablement programs for Databricks Technical Support, partners, and internal staff using the latest versions of Databricks features for data engineering
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Work with subject-matter-experts and technical enablement specialists to scope needs for new courses and updates to existing ones
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Drive improvements in Support KPIs through successful enablement programs (lagging indicators)
Skills/Experience
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Experience with topics related to Databricks (data engineering, machine learning, Apache Spark, etc)
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Experience with technical support best practices
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Strong proficiency in Python or SQL
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Able to learn new technologies quickly
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Strong analytical skills and data-driven decision-making
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Familiarity with at least one common cloud provider (AWS, Azure, or Google Cloud)
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Preferred Experience designing and developing highly technical training
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
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Source: The Business Journals
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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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Databricks secures $1.8 billion in credit - Techzine Global
Source: Techzine Global
News
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