Senior Data Engineer/Architect - Databricks

ABOUT GREYSTARGreystar 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 www.greystar.com.JOB DESCRIPTION SUMMARYWe are looking for a skilled Data Engineer to join our engineering team, focusing on leveraging Azure SQL, Cosmos DB & DataBricks 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.JOB DESCRIPTIONWhat You Will Do100% hands-on development – Azure SQL, Cosmos DB, DataBricks: develop and unit test database code, including but not limited to T-SQL, stored procedures, functions and views.Own/Maintain the DataBricks data ingestion & output for our Microsoft Customer Insights CDP platformCreate 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 ingestionsCollaborate 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 reviewsYou are a thought leader who will bring up new ideas or methods and deliver awesome codeTechnical Qualifications6+ years relevant and progressive data engineering experienceDeep 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 DB3+ Years of Experience with Data BricksHands-on skills working with data pipelines using SQL and No-SQL databasesMinimum of 1 year of relevant experience working with Azure Data Lakes Gen 2.Experience with Power Platform / Power BIExperience in engineering practices such as code refactoring, design patterns, CI/CD, and highly scalable data applicationsExperience developing batch ETL pipelines; real-time pipelines are a plusKnowledge of advanced data engineering concepts such as dimensional modeling, ETL, data governance, data warehousing, structured and unstructured dataGood Experience with Python, machine learning frameworks and statistics.Experience / Familiarity with D365 Customer Insights platform / Dataverse is a plusTechnical Pre-screening test and technical interview will be required for all candidatesOverall QualificationsKnowledge of Agile software development processExcellent problem-solving skills and experienceStrong communication and collaboration skills"Self-starter" attitude and the ability to make decisions with minimal guidance from othersInnovative and passionate about your work and the work of your teammatesAbility to comprehend and analyze operational systems and ask appropriate questions to determine how to improve, migrate or modify the solution to meet business needsWorking Conditions:Occasional time outside of core hours depending on priorities and deliverablesSome travel (with advance notice) may be required for training, team meetings or other eventsRequired Licenses or Certifications:Databricks or other Certifications are nice to have but not required.Education:Bachelor’s Degree in computer science, information technology, business management, information systems, or equivalent experience. Advanced degree preferredWhat the Right Candidate will Enjoy!100% Remote flexibility!Competitive pay, benefits, and overall compensation packages.The chance to be part of a technology team for a thriving organization