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Databricks
Databricks

The Data and AI Company.

Senior Technical Solutions Engineer, Platform

RoleFrontend
LevelSenior
LocationCosta Rica
WorkOn-site
TypeFull-time
Posted3 months ago
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Benefits and perks

Flexible Hours

Learning Budget

Equity

Healthcare

Required skills

JavaScript

Node.js

Python

**P-362 -**This role is hybrid with 3 days in our Heredia office.

As a Senior Technical Solutions Engineer, you will provide technical support for Databricks Platform related issues and resolve any challenges involving the Databricks unified analytics platform. You will assist customers in their Databricks journey and provide them with the guidance and knowledge that they need to accomplish value and achieve their strategic goals using our products. They will look to you for answers to everything from basic technical questions to complex architectural scenarios spanning across the entire Big Data ecosystem. You will report to the Senior Manager of Technical Solutions.

The impact you will have:

  • Troubleshoot and resolve complex customer issues related to Databricks platform

  • Provide best practices support for custom-built solutions developed by Databricks customers

  • Deliver suggestions for improving performance in customer-specific environments

  • Assist with issues around third-party integrations with Databricks environment

  • Demonstrate and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests

  • Participate in the creation and maintenance of company documentation and knowledge articles

  • Be a true proponent of customer advocacy

  • Strengthen your AWS/Azure and Databricks platform expertise through learning and internal training programs

  • Participate in weekend and weekday on call rotation

What we look for:

  • Minimum 4 years experience designing, building, testing, and maintaining Python/Java/Scala based applications. Expert level knowledge in python is desired .

  • Solid experience with SQL-based database is required.

  • Linux/Unix administration skills.

  • Hands-on experience with AWS, Azure or GCP.

  • Candidate must possess excellent English written and oral communication skills.

  • Experience with "Distributed Big Data Computing" environment.

  • Technical degree or the equivalent experience.

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

10 reviews

3.8

10 reviews

Work-life balance

2.5

Compensation

4.0

Culture

4.2

Career

3.5

Management

4.0

72%

Recommend to a friend

Pros

Innovative technology and cutting-edge projects

Supportive and collaborative team environment

Good compensation and benefits

Cons

Long hours and heavy workload

Poor work-life balance

High pressure and stress

Salary Ranges

34 data points

Mid/L4

Senior/L5

Mid/L4 · Corporate Development Manager

1 reports

$171,004

total per year

Base

$148,699

Stock

-

Bonus

-

$171,004

$171,004

Interview experience

5 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Experience

Positive 0%

Neutral 80%

Negative 20%

Interview process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Coding Round

5

Hiring Manager Interview

6

Onsite/Virtual Interviews

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience