Senior Data Engineer/Architect - DatabricksGreystar Worldwide, LLC • Charleston, South Carolina, United States
Senior Data Engineer/Architect - Databricks
Greystar Worldwide, LLC
- Charleston, South Carolina, United States
- Charleston, South Carolina, United States
À propos
Greystar’s D2AI team is responsible for the platforms, processes, and practices that power AI across the organization. This role influences how data is transformed into intelligent, scalable solutions used by teams company-wide. The position requires AI fluency at the intersection of data, technology, and business outcomes, including designing, operating, and deploying AI-enabled tools in day-to-day work. The role collaborates with engineering, analytics, and business teams to ensure AI solutions are reliable, responsible, and impactful. We are looking for a skilled Data Engineer to join our engineering team, focusing on leveraging Azure SQL, Cosmos DB, and Databricks to meet 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 and supporting the data needs of the engineering team as you develop and optimize the backend for customer-facing real estate applications. What You Will Do
100% hands-on development – Azure SQL, Cosmos DB, Databricks, and Azure OpenAI: develop and unit test database and AI pipeline code, including T-SQL, stored procedures, functions, views, and LLM prompt orchestration layers. Own and maintain the Databricks data ingestion and output pipelines for end programs such as greystar.com and Microsoft Customer Insights CDP platform, including Delta Lake table optimization, schema evolution, and medallion architecture (Bronze/Silver/Gold) design. Architect and maintain AI-ready data structures — clean, well-typed, and optimized for feature engineering and model consumption. Participate in the design of databases and feature stores, applying normalization or denormalization as appropriate to support both operational and ML workloads. Create, deploy, and maintain ADF and Databricks Workflows pipelines, adhering to Greystar's standards and documented best practices. Perform analysis of complex data and document findings, leveraging AI-assisted tooling and notebooks to surface insights faster. Prepare and curate data for prescriptive and predictive modeling — including feature extraction, data labeling pipelines, and training/test dataset construction. Combine raw data from disparate external sources; build and support complex ingestions including real-time streaming (Event Hub) and batch patterns. Collaborate closely with data scientists, ML engineers, and application developers consuming the data — ensuring outputs are well-documented, versioned, and model-ready. Integrate and support AI/ML model outputs back into data products — scoring pipelines, inference result storage, and feedback loops for model monitoring. Play a direct role in the maintenance, technical support, documentation, and administration of databases and Databricks environments, including Unity Catalog governance. Ensure standards are followed by participating in code reviews — including review of AI prompt logic, notebook structure, and pipeline configuration. Act as a thought leader: bring forward new ideas in AI, data engineering, and LLM integration — and then build them. Technical Qualifications
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 Databricks Hands-on experience 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 is 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 or familiarity with D365 Customer Insights platform / Dataverse is a plus Technical Pre-screening
Technical interview will be required for all candidates Overall Qualifications
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 Innovative and passionate about your work and your teammates Ability to comprehend and analyze operational systems and recommend improvements to meet business needs Working Conditions
Occasional time outside of core hours depending on priorities and deliverables Some travel (with advance notice) may be required for training, team meetings or other events Education
Bachelor’s Degree in computer science, information technology, business management, information systems, or equivalent experience. Advanced degree preferred What 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 that prioritizes accountability, respect, and operational excellence The opportunity to join a thriving, highly visible organization during its technology transformation Salary range: $150,000 - $170,000 USD annually. Additional compensation: Corporate and onsite position bonuses may apply; see employer policy for details. Robust benefits offered include medical/dental/vision, life insurance, 401(k) with company match up to 6%, paid time off, sabbatical eligibility, parental leave, employee assistance program, and other programs. Benefits vary by employment type and location. Greystar will consider employment qualified applicants with arrest and conviction records. Important notice: Greystar will never request banking details or sensitive personal information during the interview process. For any suspicious requests, contact AskHR@greystar.com. Anticipated Closing Date:
May 25, 2026. This date may be subject to change due to evolving business needs.
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Compétences linguistiques
- English
Avis aux utilisateurs
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