Sr Data Platform Engineer - SQL Server Specialist

PENNYMAC

Pennymac (NYSE: PFSI) is a specialty financial services firm with a comprehensive mortgage platform and integrated business focused on the production and servicing of U.S. mortgage loans and the management of investments related to the U.S. mortgage market. At Pennymac, our people are the foundation of our success and at the heart of our dynamic work culture. Together, we work towards a unified goal of helping millions of Americans achieve aspirations of home ownership through the complete mortgage journey.

The Sr Data Platform Engineer - SQL Server Specialist leads the design, optimization, and management of our enterprise data platform infrastructure, with a primary focus on advanced SQL Server implementations. This role supports critical business functions through sophisticated database platform development, including pricing analytics, trading systems, hedging models, and pooling operations, ensuring scalable, performant, and reliable data solutions across the organization.

You’ll leverage modern AI‑assisted development tools to accelerate development cycles while also architecting data solutions that power AI/ML initiatives across the business—from predictive analytics to intelligent automation.

• Advanced SQL Server Expertise – Architect, optimize, and manage complex SQL Server environments including Always On Availability Groups, Replication, Mirroring, and performance tuning at enterprise scale
• Expert T‑SQL Development – Design and implement advanced features including stored procedures, dynamic SQL, Common Table Expressions (CTEs), window functions, and query optimization for complex data operations
• Database Architecture & Design – Lead enterprise data modeling, dimensional modeling, and modern database design patterns in SQL Server
• High Availability & Disaster Recovery – Design and manage SQL Server HA/DR solutions including backup strategies, failover clustering, and business continuity planning
• Strong proficiency with Python 3, Object‑Oriented Programming & Design Patterns for data pipeline development
• Solid experience with Amazon Web Services (AWS) and serverless technologies for data integration
• Strong experience with advanced SQL, query optimization, and database performance tuning
• Experience with REST APIs and data integration patterns
• Experience with Git and collaborative development workflows
• Experience with comprehensive testing strategies including unit and integration testing
• Experience with event‑driven architectures and microservices in data contexts
• Experience with Infrastructure as Code (Cloud Formation, CDK, Terraform)
• Knowledge of Data Ops practices (CI/CD for data pipelines, automated testing)
• Knowledge of Agile, Scrum, Jira methodologies
• Preferred:
  Experience with AI‑assisted development tools (Cursor, Git Hub Copilot, ChatGPT, etc.) to accelerate coding and architecture design
• Preferred:
  Experience architecting or supporting data pipelines for AI/ML workloads, including feature engineering, data preparation, and model‑serving infrastructure
• Preferred:
  Experience with Snowflake, cloud data warehousing concepts, and hybrid on‑premises/cloud database strategies

• Degree in Computer Science, Data Engineering, Engineering, or similar technical major
• 5+ years of software development experience with 4+ years of advanced SQL Server experience
• Expert‑level SQL Server skills including performance optimization, High Availability/Disaster Recovery, cost management, and enterprise‑scale implementations
• Deep understanding of relational database concepts, ETL/ELT patterns, OLTP/OLAP, and modern data architecture principles
• Extensive experience with SQL Server administration, including indexing strategies, query execution plans, and performance monitoring
• Extensive experience with databases at enterprise scale, including both relational and No
  
  SQL technologies
• Demonstrated ability to master advanced database platform technologies such as replication, streaming, data orchestration, governance, security, monitoring, or performance optimization
• Proven track record of architecting and implementing…