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JobsDatabricks

Sr. Staff Fullstack Engineer, Agentic Applications

Databricks

Sr. Staff Fullstack Engineer, Agentic Applications

Databricks

Mountain View, California

·

On-site

·

Full-time

·

1mo ago

Compensation

$192,000 - $260,000

Benefits & Perks

Generous paid time off and holidays

Comprehensive health, dental, and vision insurance

Professional development budget

Team events and activities

Healthcare

Learning

Required Skills

Python

JavaScript

TypeScript

The Enterprise Applications team at Databricks is on an ambitious journey to transform how we run the business. Our mission is to build resilient, in-house platforms and AI-powered capabilities that provide a genuine competitive advantage, powering our next doubling in size and revenue.

As a Senior Staff Software Engineer on the Enterprise Applications team, you will play a critical role delivering end-to-end applications that power our business and empower our employees with truly assistive technologies. You will be responsible for defining the technical roadmap, designing critical software systems, raising the bar on engineering excellence, mentoring junior engineers, and tackling the most challenging technical issues facing the team. You will be the technical leader for a team of software engineers.

The impact you’ll have:

  • Define the technical strategy and roadmap for building in-house solutions for critical internal workflows

  • Partner closely with product management, design, and other engineering teams to build end-to-end, AI-powered solutions

  • Eliminate technical risk by solving the most technically challenging issues or tackling the most complex development tasks facing the team

  • Drive team best practices for engineering excellence, including design quality, operational reviews, testing strategies, and incident management.

What we look for:

  • 12+ years of software engineering experience, with a strong track record of technical leadership and impact.

  • 3+ years of engineering leadership experience, serving as the technical owner for the software systems owned by your team.

  • Experience designing and building end-to-end, full-stack cloud-native applications

  • Customer obsession and product engineering mindset

  • Strong communication skills and ability to influence technical and business stakeholders

  • History of raising the engineering quality bar, focus on execution and operational rigor

  • Strong ability to collaborate across product, engineering, and business teams to align technical strategy with company business objectives.

  • Passion for the data intelligence space.

Why Join Us?

  • Work on high-impact, high-visibility initiatives that directly contribute to Databricks' growth trajectory.

  • Lead and mentor a talented team of engineers solving challenging, customer-centric problems.

  • Drive innovation in a fast-paced, data-driven environment where your work shapes the future of the company.

If you are passionate about building AI-powered solutions for running the business, we would love to hear from you!

Benefits

  • Comprehensive health coverage including medical, dental, and vision

  • 401(k) Plan

  • Equity awards

  • Flexible time off

  • Paid parental leave

  • Family Planning

  • Gym reimbursement

  • Annual personal development fund

  • Work headphones reimbursement

  • Employee Assistance Program (EAP)

  • Business travel accident insurance

  • Mental wellness resources

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range:

$192,000—$260,000 USD

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