SECTION I · THE BRIEF
Brief #95500Updated 01 JUL 2026MOUNTAIN VIEW, CALIFORNIA; SAN FRANCISCO, CALIFORNIAGreenhouseSAN FRANCISCO
Employbl Dossier

Real Estate Strategic Planning Lead

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.

Location
Mountain View, California; San Francisco, California
Company size
2,025–20,000
Posted
Yesterday
Via
Greenhouse
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  • 01Comp band & equity packageLocked
  • 02Seniority & experience requirementsLocked
  • 03Interview process & rubricLocked
  • 04Hiring manager & team contextLocked
  • 05Growth trajectory in this roleLocked
  • 06Offer & decision timelineLocked

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Real Estate Strategic Planning Lead - Databricks

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Job Title
Real Estate Strategic Planning Lead
Job Location
Mountain View, California; San Francisco, California
Job Description

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 TwitterLinkedIn 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.

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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Databricks Headquarters Location

San Francisco, CA

View company profile

Databricks Company Size

Between 2,025 - 20,000 employees

Databricks Founded Year

2013

Databricks Total Amount Raised

$20,814,882,816

Databricks Funding Rounds

View funding details
  • Debt Financing

    $2,000,000,000 USD

  • Series Unknown

    $5,000,000,000 USD

  • Series Unknown

    $1,000,000,000 USD

  • Debt Financing

    $5,250,000,000 USD

  • Debt Financing

    $5,250,000,000 USD

  • Undisclosed

    $1,567,882,333 USD

  • Undisclosed

    $1,567,882,333 USD

  • Series J

    $10,000,000,000 USD

  • Series J

    $10,000,000,000 USD

  • Series I

    $500,000,000 USD

  • Series I

    $500,000,000 USD

  • Series H

    $1,600,000,000 USD

  • Series H

    $1,600,000,000 USD

  • Series G

    $1,000,000,000 USD

  • Series G

    $1,000,000,000 USD

  • Series F

    $400,000,000 USD

  • Series F

    $400,000,000 USD

  • Series E

    $250,000,000 USD

  • Series E

    $250,000,000 USD

  • Series D

    $140,000,000 USD

  • Series D

    $140,000,000 USD

  • Series C

    $60,000,000 USD

  • Series C

    $60,000,000 USD

  • Series B

    $33,000,000 USD

  • Series B

    $33,000,000 USD

  • Series A

    $14,000,000 USD

  • Series A

    $14,000,000 USD