Senior Real Estate Data Architect

FactSet • Boston, MA

1d • Hybrid

About The Position

We are seeking a senior Property Data SME to design, build, and scale a best-in-class "Single Source of Truth" for global property data. This role sits at the intersection of real estate domain expertise and data architecture, with responsibility for integrating siloed datasets into a single, consolidated property-level platform.

Requirements

• Bachelor’s degree
• 8+ years of relevant experience in similar roles at real estate data firms (such as Trepp, RCA, Green Street, CoStar), real estate prop tech firms such as Zillow, real estate development / management companies, or private equity firms.
• Proven experience designing and maintaining property-level databases, including schema design and data normalization.
• Demonstrated ability to integrate and reconcile siloed datasets into a consolidated, production-grade database.
• Deep knowledge of publicly traded REITs, property owners, and key real estate data sources.
• Strong understanding of property types, operating metrics (e.g., NOI, occupancy, rent), and valuation metrics (e.g., cap rates, LTV, DSCR).
• For U.S. candidates, must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Nice To Haves

• Strong technical and database skills, with the ability to effectively communicate with and manage engineering teams.
• Track record of delivering scalable data platforms in a complex, cross-team environment.
• Experience with major estate data providers such as S&P Capital IQ Pro, CoStar, RCA, MSCI/RCA, Trepp or Green Street.
• SQL, python, or other data-focused technical skills.
• Demonstrated ability and willingness to leverage AI tools in research workflows.

Responsibilities

• Define and own the property data model, including entities, relationships, and identifiers across assets, owners, and transactions.
• Design scalable data models for real estate data, including transactions, financial data, and geospatial information.
• Focus on data architecture and modeling, data integration, and governance in a real estate context.
• Partner closely with engineers to guide database architecture decisions and ensure delivery of intended outcomes.
• Translate business and data requirements into clear technical specifications for engineering teams.
• Lead the integration of multiple internal and external datasets into a unified, scalable property database.
• Serve as the domain expert on publicly traded REITs and major property owners.
• Establish standards for property classification, operating metrics, and valuation frameworks.
• Define and monitor data quality and completeness metrics

Benefits

• The opportunity to join an S&P 500 company with over 45 years of sustainable growth powered by the entrepreneurial spirit of a start-up.
• Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and company-wide wellness days.
• Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives.
• A global community dedicated to volunteerism and sustainability, where collaboration is always encouraged, and individuality drives solutions.
• Career progression planning with dedicated time each month for learning and development.
• Business Resource Groups open to all employees that serve as a catalyst for connection, growth, and belonging.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level