WHY YOU’LL LOVE IT HERE

• High Impact: Play a critical role in a transformative company-wide data initiative.
• Cutting-Edge Work: Help shape how AI and predictive analytics redefine real estate.
• Cross-Industry Exposure: Collaborate across disciplines in a fast-moving, data-hungry environment.
• Growth Opportunity: Lead with autonomy and help set the data agenda from the ground up.

REQUIREMENTS

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• 5+ years of experience in data engineering, analytics, or business intelligence.
• Deep experience with Microsoft Azure (Data Factory, Synapse, Azure SQL), or similar cloud platforms.
• Strong proficiency in Python and SQL; experience with dbt, Power BI, or Tableau is a plus.
• Proven ability to design and scale data infrastructure and pipelines.
• Excellent communicator with a knack for translating technical work into business value.
• Familiarity with generative AI, APIs (e.g., OpenAI), or LLM frameworks is a strong bonus.

ABOUT THE ROLE

Are you passionate about transforming raw data into real business impact? We’re looking for a strategic, hands-on Data Strategy & Engineering Lead to architect the future of data at one of the nation’s leading real estate companies. In this role, you’ll do far more than build pipelines—you’ll drive a firm-wide transformation that empowers smarter decisions, accelerates AI integration, and unlocks the full value of our data.
As the firm’s go-to data leader, you’ll work cross-functionally with key stakeholders to understand business needs, build scalable infrastructure, and deliver insights that shape the direction of our company. You’ll play a pivotal role in advancing our capabilities in generative AI, predictive analytics, and beyond.

WHAT YOU’LL DO

• Architect Our Data Future
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• Evaluate current infrastructure and define a scalable, future-ready data strategy.

• Establish and maintain data governance, quality, and reliability standards.
• Build the Engine
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• Design and develop robust ETL/ELT workflows for structured and unstructured data.

• Create and optimize data pipelines across cloud platforms (preferably Azure, but open to AWS/GCP).
• Use Python, SQL, and modern tools to turn messy data into business-ready intelligence.
• Collaborate and Deliver Impact
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• Partner with teams across finance, leasing, operations, and development to understand their data needs.

• Build intuitive dashboards and reporting tools that bring data to life and support real-time decisions.
• Champion best practices for data entry, hygiene, and stewardship across the organization.
• Lead with AI & Innovation
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• Help shape and lead generative AI initiatives—from experimentation to implementation.

• Collaborate on building proprietary tools powered by machine learning and AI technologies.