Data Warehouse Developer

Design, build, and optimize database objects and data pipelines within a Snowflake platform supporting mortgage loan servicing operations. Develop and maintain dbt transformations that move data through a medallion architecture (Raw Staging Quarantine Production Analytics), build API-serving data layers, and ensure performant, reliable data delivery across a large-scale environment (100B+ rows, 10,000+ tables)., * Develop and maintain dbt models powering production and analytics layers

• Build and optimize SQL objects: tables, views, stored procedures, tasks, and streams
• Design and implement data ingestion patterns from Azure storage via ADF pipelines and Snowpipe
• Develop data quality and quarantine logic to validate and gate data before promotion to production
• Build and maintain API-serving schemas delivering data to operational systems
• Develop and support Azure Function Apps that interact with Snowflake for real-time and event-driven data operations
• Implement loan boarding and MERS registration data pipelines
• Optimize query performance across multicluster warehouses; tune clustering keys, materialized views, and partition strategies
• Develop audit trails and historical tracking patterns
• Support extract pipelines delivering data to investors, regulators, and partners via Azure storage
• Manage schema migrations, version control via GitHub, and CI/CD through dbt Cloud
• Track and report Success Metrics
• Evaluate pipeline reliability and on-time data availability
• Evaluate query performance improvements and warehouse credit efficiency
• Evaluate API response time and availability SLAs
• Evaluate Data quality pass-through accuracy
• Perform Code quality: test coverage, documentation, PR review turnaround

• Bachelor’s degree in Computer Science, Information Systems, or related field - or equivalent professional experience.
• This position requires 3+ years developing in Snowflake (DDL, DML, stored procedures, tasks, streams, UDFs).
• Strong dbt experience (models, tests, incremental strategies, macros, packages)
• Advanced SQL: window functions, CTEs, semi-structured data (VARIANT/JSON), query optimization
• Experience with Azure Data Factory for orchestration and data movement
• Experience with Azure Function Apps for event-driven and API-based data integrations
• Familiarity with RESTful API design, development, and consumption (JSON payloads, authentication, error handling)
• Understanding of medallion/layered data architecture patterns
• Understanding of mortgage servicing data: loan-level records, payment transactions, escrow, collections, delinquency, credit reporting
• Experience with Snowflake features: multi-cluster warehouses, external stages, storage integrations, notification integrations (Event Grid, Storage Queue)
• Python for Azure Functions, data processing, and pipeline automation
• Experience with Snowflake external functions and API integrations
• Knowledge of OAuth, API key management, and secure service-to-service communication
• Knowledge of GSE reporting structures (Fannie Mae, Freddie Mac)
• Git-based workflow for database development; CI/CD with dbt Cloud
• Snowflake RBAC administration and role-based access patterns

Because we recognize and reward hard work, we offer a competitive salary, Medical, Dental, Vision, , Accidental Death, Long-Term Disability, Short-Term Disability, FSA, HSA, 401K, Basic Life, Voluntary Life, and Paid Parental Leave benefits, as well as the opportunity for a performance based bonus based on position and department.

Cornerstone Servicing, a division of Cornerstone Capital Bank, is a best-in-class mortgage servicer with a reputation for amazing service, customer satisfaction, employee retention and happiness! We employ people who are passionately committed to Cornerstone’s Mission, Vision & Core Convictions.

We honor God by using our talents to make a positive difference in the lives of our Team Members, Clients, Shareholders, Communities, and the People who provide services to us.