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CREA, LLC is a full-service low-income housing tax credit (LIHTC) syndicator forming long-term relationships with investors and developers that cultivate success and improve lives. With 25 years in affordable housing, CREA has raised $13.5 billion, resulting in the formation of over 97,500 homes within 1059 communities across the country. Thanks to the contributions of over 135 employees, CREA continues to seek talented, passionate individuals eager to grow with us. We are seeking a Senior Data Engineer to lead the design, development, and modernization of enterprise data platforms supporting LIHTC and real estate finance operations. This role is ideal for a seasoned data professional who thrives in building scalable data solutions, driving cloud transformation, and enabling advanced analytics. You will play a key role in CREA's transition to a modern Azure Fabric data ecosystem, unlocking data-driven insights across the organization.
Job Responsibility:
Lead the design, development, and modernization of enterprise data platforms supporting LIHTC and real estate finance operations
Design, build, test, deploy, and maintain scalable, secure, and reliable data pipelines and integrations
Develop and maintain ETL/ELT processes for structured and semi-structured data, including orchestration and documentation
Ingest, transform, and integrate structured and unstructured data into centralized data platforms (warehouse/lakehouse)
Build reusable code and automation to streamline data processing and management
Lead and support migration of on-prem SQL Server workloads to Azure/Microsoft Fabric
Participate in data architecture decisions, standards, and platform/tool selection
Maintain and optimize performance, reliability, and monitoring across cloud and hybrid environments
Develop and support data solutions that enable analytics, reporting, and business operations
Produce dashboards and reports
communicate insights to stakeholders
Serve as a subject matter expert, partnering with IT and business teams to solve key data challenges
Implement data quality, validation, and monitoring controls
perform root cause analysis
Establish and support data governance practices to ensure integrity and business value
Champion data security, compliance, and adherence to company guidelines
Drive Power BI/Fabric governance, including semantic models and workspace management
Requirements:
Bachelor's degree in Engineering, Computer Science, or related field required
advanced degree preferred
7+ years of experience in data engineering or development with increasing responsibility
Proven experience building and evolving data platforms and supporting business decision-making
Industry experience in Real Estate, Financial Services, Banking, or FinTech preferred
Strong experience designing, integrating, securing, monitoring, and optimizing data platforms
Experience with APIs for system integration and data exchange
Experience leveraging AI-enabled tools for analytics, automation, or solution development
Azure Data Platform: SQL Server Managed Instance, Azure SQL Database, Azure Synapse, Dataverse, Microsoft Fabric (OneLake, Fabric Warehouse, Data Factory)
Data Integration: Azure Data Factory, Microsoft Fabric
Analytics & Reporting: Power BI, Power Query, DAX
Business Applications: Microsoft 365 (O365, SharePoint, OneDrive), VSTO/C# .NET Add-ins
Development & DevOps: GitHub, CI/CD pipelines, Visual Studio, Power BI Deployment Pipelines, Monday.com