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Sr. Technical Enablement Specialist

Databricks

Sr. Technical Enablement Specialist

Databricks

Bengaluru, India

·

On-site

·

Full-time

·

1mo ago

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

  • Work with subject-matter-experts and technical enablement specialists to scope needs for new courses and updates to existing ones

  • Drive improvements in Support KPIs through successful enablement programs (lagging indicators)

Skills/Experience

  • Experience with topics related to Databricks (data engineering, machine learning, Apache Spark, etc)

  • Experience with technical support best practices

  • Strong proficiency in Python or SQL

  • Able to learn new technologies quickly

  • Strong analytical skills and data-driven decision-making

  • Familiarity with at least one common cloud provider (AWS, Azure, or Google Cloud)

  • 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

Databricks

Series I

Databricks, 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