Companies Databricks

Databricks

New York

Total Offices: 3

2,200 Total Employees

Year Founded: 2013

View Website

Similar Companies Hiring

Fairly Even

Hardware • Other • Robotics • Sales • Software • Hospitality

2 Offices

30 Employees

Bellagent

Artificial Intelligence • Machine Learning • Business Intelligence • Generative AI

3 Offices

20 Employees

Kepler

Fintech • Software

New York, New York

6 Employees

Databricks Career Growth & Development

Updated on April 01, 2026

This page summarizes recurring themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.

What's career growth & development like at Databricks?

Strengths in leadership development, formal training access, and high-visibility work are accompanied by constraints around internal mobility, uneven promotion clarity, and occasional scope limitations for mid-level roles. Together, these dynamics suggest a company that strongly enables learning and leadership growth while requiring deliberate team selection and visible impact to translate development into advancement.

Positive Themes About Databricks

Leadership Development: Leadership programs are taught by founders and the executive team and include dedicated tracks for new managers and high‑potential senior leaders. This emphasis aims to bring the company’s culture to life through leadership behavior and consistent management practices.
Training & Education Access: Databricks Academy, role‑based learning paths, certifications, and hands‑on labs provide structured upskilling across data engineering, ML, analytics, and generative AI. Free resources like the Community Edition, documentation, tutorials, and webinars further expand access to continuous learning.
Exposure & Visibility: Interns and new graduates work on high‑visibility, real‑world projects with mentorship that impact major companies. Operating at the forefront of Spark, Delta Lake, MLflow, and generative AI increases exposure to cutting‑edge technologies and industry practices.

Considerations About Databricks

Limited Mobility: Feedback suggests higher‑level roles are frequently filled through external hiring, constraining internal mobility for mid‑level employees. Internal transfers and relocations occur but often depend on performance, business need, and the specific team context.
Unclear Advancement: Promotion outcomes vary widely by team and are closely tied to landing high‑impact, visible projects. There is no single, explicit company‑wide internal promotion policy publicly detailed, which can make advancement paths less predictable.
Unchallenging Work: Mid‑level engineers are sometimes tasked with maintenance or support work that limits scope for innovation. This dynamic can restrict opportunities to demonstrate impact needed for progression.

NEW

What does AI tell candidates about your employer brand?

Get your free AI reputation report today.

See AI Report

These insights are generated using AI and may not reflect internal data or verified company information. They are intended solely for general informational purposes and should not be considered a definitive assessment of the company’s reputation. If you are a representative of this company, and would like this page to be removed, you may contact us via this form.