Workplace Specialist
Quick Summary
Experience in understanding leases across international markets Experience in office project delivery,
The Workplace Specialist will lead Databricks' London (EMEA HQ) operations, with full responsibility for offices in London, Stockholm, Israel, and Saudi Arabia. You will help develop strategies and implement tactical solutions to support Databricks' exponential growth across the region.
This is an exciting opportunity to grow the regional support team and manage important third-party relationships that will be the backbone of our growth. This region has over 300 employees and plans for high growth in the next 12 months. This role reports to the Senior Real Estate and Workplace Manager International.
- Help develop and document consistent operational processes
- Support Databricks’ continued growth, focusing on supporting the EMEA portfolio - this will include improving maintenance and overall workplace experience in existing offices, as well as being a key project team member for new office locations
- Ensure a coverage model that supports day-to-day facility requests being completed - work as a part of REW leadership to create standards and key measures to ensure a consistent level of support globally
- Work to improve the employee experience and support the Databricks culture
- Set clear goals for the continued improvement of our workplace and support of our employees
- Hire, manage, and coach staff - you will have direct oversight of Workplace Specialists and front-of-house staff, and in this role, you will be responsible for growing and developing these positions
- Manage the REW budget for the EMEA portfolio - working with REW leadership and Finance to budget and forecast as required. This role will be responsible for staying within the budget on all operational spend
Responsibilities
~1 min read- →Onsite in London
- →Management of EMEA offices located in London, Stockholm, Israel, and Saudi Arabia - with some travel
- →Business Stakeholder issues/coordination
- →Food/Beverage Management
- →Events Management
- →Working with Property Managers
- Experience in understanding leases across international markets
- Experience in office project delivery, including end-to-end tenant improvement projects
- Facilities management experience with responsibility for operations and service delivery
- Broad experience conducting RFPs for a variety of goods and services
- Experience leading lease negotiations in multiple international markets
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 click here.
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.
Location & Eligibility
Listing Details
- Posted
- July 28, 2026
- First seen
- July 28, 2026
- Last seen
- July 28, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 67%
- Scored at
- July 28, 2026
Signal breakdown

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition.
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