Head of Data Architecture

Job Locations US-NY-New York | US-PA-Fort Washington | US-IL-Chicago


Link Logistics Real Estate ("Link") is an industrial real estate operating platform owned by Blackstone. Link currently manages a national portfolio of high-quality, well-located industrial assets totaling over 400 million square feet throughout the United States, with approximately $1.5B in the development pipeline. Established by Blackstone in 2019 as a best-in-class logistics real estate operating platform, Link brings customers the highest quality logistics portfolio, operating at the highest standard. The company's properties are at the center of the modern supply chain, helping its customers move products faster and more efficiently than ever before. Link's real estate investment business operates a diverse portfolio, including an unsurpassed selection of last-mile facilities in highly sought-after urban infill locations.


Blackstone is a global leader in real estate investing. Blackstone's real estate business was founded in 1991 and has $174B of investor capital under management. The company is one of the world's largest property owners, owning and operating assets across every major geography and sector, including logistics, multifamily, and single-family housing, office, hospitality, and retail.


As Head of Data Architecture, your primary responsibilities will be to develop, optimize, and oversee our company’s conceptual and logical data systems. You proactively engage stakeholders to understand internal and external needs, fulfilling requirements with a focus on improving data quality, accessibility and security. This may include demos, solution designs, implementation plans and proof of concepts.


  • Create domain and database design, and architecture reports for management and executive teams
  • Develop solutions to improve new and existing database systems
  • Design and implement effective database solutions and models to store and retrieve company data
  • Ensure system performance via proactive design, monitoring, troubleshooting and development of new features
  • Maintain technical skills and knowledge of market trends and competitive insights; collaborate and share with the technical community
  • Be an IT evangelist with customers, stakeholders, partners and communities



  • 10+ years of success in data architecture, data warehousing and data governance
  • Experience with responsive data structures, ontologies, metadata capture strategy
  • Experience marrying a domain model to an extensive business glossary

Relationship Building

  • Proven track record of building deep technical relationships with senior stakeholders
  • Experience in managing technical and non-technical relationships to get consensus on solutions/projects
  • Ability to engage, influence and lead in a positive inspiring manner

Collaboration and Communication

  • Acknowledged for driving decisions collaboratively, resolving conflicts and ensuring follow through with exceptional verbal and written communication skills
  • Ability to orchestrate, lead, and influence virtual teams, ensuring successful implementation of customer projects
  • Presentation skills with a high degree of comfort with both large and small audiences (Senior Executives, IT management, Database administrators and Data Scientists)

TOGAF or relevant enterprise architecture framework experience



Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, migrations, and technology management. Subject matter expertise in one or more of the following: 

  • Master Data Management in operations, analytics and governance
  • Scalable distributed systems and databases (e.g. Snowflake, Databricks, Spark, Redshift, GBQ)
  • MS Azure
  • Software development practices like DevOps and CI/CD tool chains (i.e. Jenkins, Spinnaker, Azure DevOps, GitHub)
  • Experience supporting large-scale application portfolios in enterprise-wide environments 
  • Familiarity with modern analytics and metadata management tools (e.g. DBT, Looker)
  • Continuous integration technologies, orchestration tools (e.g. Jenkins, Airflow)
  • One or more of the following programming languages preferred: Python, Spark Scala, pyspark, SQL


  • Minimum 10 plus years of experience in data and information management
  • Undergraduate degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in engineering, science, business, or social science. Advanced degree preferred

EEO Statement

Our company is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our employment decisions are based on individual qualifications, job requirements and business needs without regard to race, color, marital status, sex, sexual orientation, gender identity and/or expression, age, religion, disability, citizenship status, national origin, pregnancy, veteran status and or any other legally protected characteristics. We are committed to providing reasonable accommodations, if you need an accommodation to complete the application process, please email




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