Senior Data Engineer​/Architect - Databricks

ABOUT GREYSTAR

Greystar is a leading, fully integrated global real‑estate platform offering expertise in property management, investment management, development, and construction services in institutional‑quality rental housing. Headquartered in Charleston, South Carolina, Greystar manages and operates over $300 billion of real estate in more than 250 markets globally with offices throughout North America, Europe, South America, and the Asia‑Pacific region. Greystar is the largest operator of apartments in the United States, managing over 1,000,000 units/beds globally.

Across its platforms, Greystar has nearly $79 billion of assets under management, including over $35 billion of development assets and over $30 billion of regulatory assets under management. Greystar was founded by Bob Faith in 1993 to become a provider of world‑class service in the rental residential real‑estate business. To learn more, visit

We are looking for a skilled Data Engineer to join our engineering team, focusing on leveraging Azure SQL, Cosmos DB & Data Bricks to meet our growing data demands. As a Sr. data engineer in the Apex organization, you will be part of the Scrum team, developing data capabilities powering customer‑facing applications used by thousands of residents. You will play a critical role in supporting the data needs of the engineering team as you develop and optimize the backend for customer‑facing real estate applications.

• 100% hands‑on development – Azure SQL, Cosmos DB, Data Bricks: develop and unit test database code, including but not limited to T‑SQL, stored procedures, functions and views.
• Own/Maintain the Data Bricks data ingestion & output for our Microsoft Customer Insights CDP platform.
• Create and maintain database structures.
• Participate in the design of databases, using first, second or third normalized form as needed to support business requirements.
• Create, deploy, and maintain ADF pipelines, adhering to Greystar’s standards and documented best practices.
• Monitor database performance, identify bottlenecks and implement improvements to ensure scalable and reliable database operations in a production environment.
• Perform analysis of complex data and document findings.
• Prepare data for prescriptive and predictive modeling.
• Combine raw data from different external sources and build and support complex ingestions.
• Collaborate with application developers/data analysts who will be consuming the data.
• Play a direct role in the maintenance, technical support, documentation, and administration of databases.
• Ensure standards are followed by participating in code reviews.
• You are a thought leader who will bring up new ideas or methods and deliver awesome code.

• 6+ years relevant and progressive data engineering experience.
• Deep technical knowledge and experience in Microsoft Azure architecture, including Azure PaaS databases, Synapse, ADF pipelines, Azure functions, Event Grids, etc.
• 3+ years of experience with Cosmos DB.
• 3+ years of experience with Data Bricks.
• Hands‑on skills working with data pipelines using SQL and No‑SQL databases.
• Minimum of 1 year of relevant experience working with Azure Data Lakes Gen 2.
• Experience with Power Platform / Power BI.
• Experience in engineering practices such as code refactoring, design patterns, CI/CD, and highly scalable data applications.
• Experience developing batch ETL pipelines; real‑time pipelines are a plus.
• Knowledge of advanced data engineering concepts such as dimensional modeling, ETL, data governance, data warehousing, structured and unstructured data.
• Good experience with Python, machine‑learning frameworks and statistics.
• Experience / familiarity with D365 Customer Insights platform / Dataverse is a plus.

• Knowledge of Agile software development process.
• Excellent problem‑solving skills and experience.
• Strong communication and collaboration skills.
• “Self‑starter” attitude and the ability to make decisions with minimal guidance from others.
• Innovative and passionate about your work and the work of your teammates.
• Ability to comprehend…