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Benefits Diversity Engineering Research Students & new grads Back to search results Real Estate Strategic Planning Lead Mountain View, California; San Francisco, California Apply now GAQ327R256 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. Databricks is seeking a Real Estate Strategic Planning Lead to join our Real Estate & Workplace Services (REWS) team. Reporting to Global Real Estate Strategy & Transactions, this highly visible and impactful role will be responsible for portfolio planning, scenario planning, and portfolio optimization across Databricks’ global real estate portfolio.
The role will support executive decision-making through strategic analysis, financial modeling, and business case support to inform key real estate decisions. The impact you will have: Partner with Finance and Real Estate Leadership to maintain REWS long-range portfolio plan Create and maintain flexible portfolio models and manage complex scenario planning initiatives Develop portfolio optimization recommendations aligned with business growth, financial objectives, and employee experience Conduct financial, operational, and portfolio analyses to support strategic real estate decision-making Support development of executive-ready business cases, presentations, and strategic recommendations Translate complex portfolio tradeoffs into clear, data-driven insights and actionable recommendations Develop and maintain recurring portfolio reporting, dashboards, and key performance metrics Conduct ad hoc analyses and decision support for high-priority REWS cross-functional initiatives Partner with Finance, Workplace, People, IT, and Real Estate stakeholders globally to support portfolio planning initiatives Help establish scalable planning frameworks, reporting standards, and governance processes as Databricks continues to grow What we look for: Bachelor’s degree in Real Estate, Finance, Economics, Business Administration, or a related field 7+ years of experience in a combination of Real Estate, Finance, Strategy, Management Consulting, or related fields with a track record of success Excellent analytical skills, including financial modeling, forecasting, portfolio analysis, and scenario planning Exceptional problem-solving skills with demonstrated ability to structure complex problems and develop solutions Strong presentation, verbal, and written communication skills Ability to manage multiple high-visibility projects simultaneously in a fast-paced environment Experience working in a results-driven, solutions-oriented environment with competing priorities Strong collaboration skills and ability to work effectively across cross-functional stakeholders Advanced proficiency in Google Sheets, Excel, and presentation development Experience with planning and reporting tools such as Anaplan, Tableau, Databricks, or similar platforms preferred 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 . Zone 1 Pay Range $144,500 — $198,650 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 .
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perks that meet the needs of all of our employees. For specific details on the
benefits offered in your region click here . 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. Why Databricks Discover For App Developers For Executives For Startups Lakehouse Architecture Databricks AI Research Customers Customer Stories Partners Partner Overview Partner Program Find a Partner Partner Spotlight Cloud Providers Partner Solutions Why Databricks Discover For App Developers For Executives For Startups Lakehouse Architecture Databricks AI Research Customers Customer Stories Partners Partner Overview Partner Program Find a Partner Partner Spotlight Cloud Providers Partner Solutions Product Databricks Platform Platform Overview Application Development Artificial Intelligence Business Intelligence Business Productivity Customer Data Platform Data Engineering Data Warehousing Database Governance Security Sharing Pricing Pricing Overview Pricing Calculator Open Source Integrations and Data Marketplace IDE Integrations Partner Connect Product Databricks Platform Platform Overview Application Development Artificial Intelligence Business Intelligence Business Productivity Customer Data Platform Data Engineering Data Warehousing Database Governance Security Sharing Pricing Pricing Overview Pricing Calculator Open Source Integrations and Data Marketplace IDE Integrations Partner Connect Solutions Databricks For Industries Communications Financial Services Healthcare and Life Sciences Manufacturing Media and Entertainment Public Sector Retail View All Cross Industry Solutions AI Agents AI Governance Cybersecurity Marketing Data Migration Forward Deployed Engineering Solution Accelerators Solutions Databricks For Industries Communications Financial Services Healthcare and Life Sciences Manufacturing Media and Entertainment Public Sector Retail View All Cross Industry Solutions AI Agents AI Governance Cybersecurity Marketing Data Migration Forward Deployed Engineering Solution Accelerators Resources Documentation Customer Support Community Learning Training Certification Free Edition University Alliance Databricks Academy Login Events Data + AI Summit Data + AI World Tour AI Days Event Calendar Blog and Podcasts Databricks Blog AI Blog Data Brew Podcast Champions of Data & AI Podcast Resources Documentation Customer Support Community Learning Training Certification Free Edition University Alliance Databricks Academy Login Events Data + AI Summit Data + AI World Tour AI Days Event Calendar Blog and Podcasts Databricks Blog AI Blog Data Brew Podcast Champions of Data & AI Podcast About Company
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Salary
$144,500 - $198,650
Location
San Francisco, Mountain View
Total raised
$130.0M
Last stage
Series B
Investors
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.