Sagent

Data Architect Principal

United States

Sagent Logo
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, Loan and Mortgage ServicesIndustries

Requirements

Candidates must possess at least 12 years of experience as a data modeler, developer, data warehouse consumer, or in data-related operations, along with 3+ years of experience working with cloud platforms such as Azure, GCP, or similar.

Responsibilities

The Data Architect Principal will design and develop data models to accurately represent organizational data requirements, working closely with business stakeholders to identify key data elements and ensure model accuracy and up-to-date information. They will analyze large and complex data sets to identify patterns and insights, utilizing statistical analysis and data visualization tools, and maintain data models while collaborating with data engineers to resolve issues. Furthermore, they will establish comprehensive data model documentation, coordinate with various teams to define specifications, manage change control processes, and analyze current and future states to drive strategic data value.

Skills

Data modeling
Data analysis
Statistical analysis
Data visualization
Data quality management
Data documentation
ETL processes
Business process understanding
System requirements translation
Leadership
Communication
Presentation

Sagent

Modernizes mortgage loan servicing with software

About Sagent

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.

Key Metrics

Upper Merion Township, PennsylvaniaHeadquarters
2018Year Founded
$17MTotal Funding
M_AND_ACompany Stage
Fintech, Financial ServicesIndustries
1,001-5,000Employees

Benefits

Remote Work Options
Health Insurance
Unlimited Paid Time Off
Family Planning Benefits
Tuition Reimbursement
Paid Family Leave
401(k) Company Match
Pet Insurance
Professional Development Budget
Company Social Events

Risks

Emerging fintech startups may erode Sagent's market share.
Data privacy concerns could lead to regulatory scrutiny and affect client trust.
Economic downturns in the housing market may impact Sagent's revenue.

Differentiation

Sagent offers AI-embedded tools for document automation and predictive insights.
The company provides a mobile-first consumer experience for mortgage management.
Sagent's generative AI-based chat capabilities enhance customer service in mortgage servicing.

Upsides

Growing demand for AI-driven mortgage servicing solutions boosts Sagent's market potential.
Mobile-first solutions align with consumer demand for convenient mortgage management.
SaaS model provides Sagent with recurring revenue and scalable solutions.

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