Principal Data Architect
Access SystemsFull Time
Expert & Leadership (9+ years)
The candidate must possess 12+ years of experience in data modeling, development, data warehousing, or data operations. They should have 3+ years of experience with cloud platforms like Azure or GCP, and 4+ years of experience with data modeling tools (ERwin, ER/Studio, PowerDesigner), ETL tools (Talend, DataStage), RDBMS technologies (SQL Server, Postgres, Oracle), and advanced SQL techniques. Additionally, 1+ years of experience with Python, PySpark, and Snowflake is required, along with 3+ years of experience implementing dimensional data warehouses on Snowflake and 3+ years of experience with DevOps CI/CD pipelines. A degree in a related field is preferred, as is the ability to operate astutely within an organization and emphasize data, process, and application governance. Hands-on knowledge of .Net and Java is also required.
The Data Architect Principal will design and develop data architecture patterns and data models, ensuring they accurately represent organizational data needs. They will build ETL/ELT frameworks, work with complex datasets to identify patterns and insights using statistical analysis and data visualization, and maintain data models for accuracy and up-to-dateness. This role involves establishing and maintaining data model documentation, understanding data flow and business processes to provide data mapping requirements, and coordinating with business partners and technical teams to define specifications and communicate project status. The position also includes managing change control processes, communicating program/project status to senior management, and conceiving projects to bridge current and future data goals.
Modernizes mortgage loan servicing with software
Sagent modernizes mortgage loan servicing for banks and lenders by providing software solutions that enhance efficiency and user experience. Their products include AI-embedded tools for automating documents, offering real-time predictive insights, and generative AI-based chat features. These tools enable financial institutions to manage millions of consumer loans effectively while ensuring compliance and operational efficiency. Sagent primarily serves banks and mortgage lenders, operating on a software-as-a-service (SaaS) model that generates revenue through subscriptions and service contracts. Their platforms focus on a mobile-first consumer experience, allowing homeowners to manage their mortgages easily, resolve issues quickly, and access expert advice, which boosts customer satisfaction and helps financial institutions lower costs and improve servicing values.