Data Architect Principal

Summary

Join Sagent as a Data Architect Principal and contribute to our mission of simplifying and securing loans and homeownership. You will play a key role in the Enterprise Data Analytics and Architecture team, focusing on data modeling, integration, and innovative cloud-first solutions. Collaborate with business stakeholders to understand their needs and define system requirements. This critical position drives the strategic value of data and application infrastructure. You will design and develop data models, analyze large datasets, maintain data models, and create comprehensive documentation. Strong leadership, communication, and presentation skills are essential for communicating with senior management.

Requirements

• 12+ years of experience as a data modeler, developer, data warehouse consumer and / or data related operations
• 3+ Years of working experience or exposure to Azure, GCP or any other Cloud development and deployment practices
• 4+ Years of Experience with data modeling tools such as ERwin, ER/Studio, or PowerDesigner
• 3+ years of experience in implementing dimensional data warehouse on Snowflake
• 3+ years of experience with deployments via devops CI/CD pipelines
• Graduation from a 4-year college or university with major course work in a discipline related to the requirements of the position is preferred
• Ability to astutely operate in the organization, and being able to emphasize methodology, modeling and (Data, Process and Application) governance
• Hands-On, working knowledge of .Net, Java and SQL language, (i.e. T-SQL (Microsoft)
• Mid-level to expert knowledge in data integration concepts, source-to-target mapping techniques and requirements documentation for ETL team to follow
• Highly skilled in managing all aspects of all sizes and complexities of multiple projects simultaneously across the software development life cycle phases (SDLC)
• Strong track record of interviewing business partners, setting and managing expectations in relation to deliverables and requirements
• Understanding of Agile development methodologies and software project life cycle and associated methodologies
• Experience with standard systems analysis tools and procedures
• Ability to prioritize and handle multiple projects
• Excellent problem solving, analytical, and customer service skills
• Excellent verbal and written communication skills with the ability to establish deep understanding of clients business issues

Responsibilities

• Design and develop data models that accurately represent the organization's data requirements
• Work with business stakeholders to identify key data elements and design models that meet the organization's needs
• Work with large and complex data sets to identify patterns, trends, and insights
• Use statistical analysis techniques and data visualization tools to interpret the data and provide meaningful insights to the organization
• Maintain data models to ensure that they are accurate and up-to-date
• Monitor data quality and work with data engineers to resolve any issues
• Establish and maintain comprehensive data model documentation including detailed descriptions of business entities, attributes, and data relationships
• Understands the flow of data, business processes/technical interfaces that would be created or impacted and Provide data mappings requirements, user interface specifications, processing logic as per business requirements to the ETL team
• Coordinate with Business partners, Technical Analysts and Developers to identify and define specifications, indicate areas of system impact and continuously communicate project status and needs
• Manages change control processes and ensures program/project communications
• Strong leadership, communications, and presentation skills with the ability to clearly communicate status to senior management team
• Analyzes current state and conceives desired future state; and conceives projects needed to close the gap between current and future goals
• Other duties as assigned

Preferred Qualifications

• 3+ years of people leadership skills will be a big plus
• 4+ Mortgage and/or financial industry knowledge is strongly preferred
• Working knowledge of Big Data concepts in organizing both structured and unstructured data is a big plus

Benefits

• Remote/Hybrid workplace options
• Health Benefits
• Unlimited Flexible Time Off
• Family Planning Services
• Tuition Reimbursement
• Paid Family Leave
• 401(k) Matching
• Pet Insurance
• LinkedIn Learning
• Virtual Social Experiences
• Career Pathing
• Focus Time Fridays