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Regional Workplace Manager, West Europe

Databricks

Regional Workplace Manager, West Europe

Databricks

London, United Kingdom

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Professional development budget

Team events and activities

Comprehensive health, dental, and vision insurance

401(k) matching

Competitive salary and equity package

Generous paid time off and holidays

Learning

Healthcare

Equity

Required Skills

TypeScript

React

Node.js

Mission

The Real Estate & Workplace (REW) Facilities Site Manager will lead Databricks’ EMEA operations from our London office, overseeing sites across Paris, Munich, Stockholm, Israel, Zurich and Riyadh. You’ll play a key role in shaping and executing workplace strategies that enable Databricks’ rapid regional growth and deliver exceptional employee experiences.

This is an exciting opportunity to scale our EMEA workplace support model, strengthen key vendor partnerships, and ensure operational excellence across a growing portfolio supporting over 1,000 Bricksters — with continued expansion ahead. The role reports to the International Real Estate & Workplace Leader and may include occasional travel to regional offices.

Impact you will have

  • Deliver the best in class service for employees, customers and investors

  • Manage support team for internal events/training/hackdays as well as company happy hours

  • Oversee front of house activities such as: security management, food and beverage programs

  • Guide all facilities and workplace operations to achieve an exceptional environment which manifests and deepens company culture in our workplaces

  • Work cross functionally with your extended International REW team supporting projects and programs within the scope of Workplace and Real Estate Operations

  • Ensure a coverage model that supports day to day facilities requests are completed - work as a part of REW team to follow standards and key measures to ensure a consistent level of support

  • Maintain strong relationships with internal stakeholders (EA’s, team leaders) and partner teams (HR, IT, Finance and property management) as well as external vendor services to ensure highest quality solutions

  • Work on special projects as a part of the global REW team

  • Help develop, improve and document consistent operational processes such as: Oversee regular office maintenance programs- janitorial, patch & paint and safety equipment etc

  • Optimize and document operational processes: Op Ex, Cap Ex, Security and Safety Programs

Requirements

  • 8+ years management experience with responsibility for operations and service delivery

  • Experience building schedules, coverage models and working with cross-functional stakeholders

  • Good communication skills and the ability to draft office communications

  • Proven organizational skills, managing multiple work streams and projects

  • Customer focussed attitude - ensuring consistently high quality resolutions

  • Financial and budget experience; including sourcing/procuring goods or services and following procurement best practices

  • Experience working and managing projects within a distributed, remote environment

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