Sr Data Platform Engineer at Pennymac

Westlake Village, California, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Jan, 26

Salary

150000.0

Posted On

22 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Snowflake, Data Warehouse Architecture, Python, Object-Oriented Programming, SQL, AWS, Data Integration, Git, DataOps, Agile, Scrum, Event-Driven Architectures, Microservices, Infrastructure as Code, Testing Strategies, Data Governance

Industry

Financial Services

Description

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 homeownership through the complete mortgage journey. A Typical Day The Sr Data Platform Engineer - Snowflake Specialist leads the design, optimization, and management of our enterprise data warehouse infrastructure, with a primary focus on advanced Snowflake implementations. This role supports critical business functions through sophisticated data platform development, including data operations and ensuring scalable and performant data solutions across the organization. The Sr Data Platform Engineer - Snowflake Specialist will: Advanced Snowflake Expertise - Architect, optimize, and manage complex Snowflake environments including warehouses, data sharing, streams, tasks, and performance tuning Expert Snowflake Development - Design and implement advanced features including stored procedures, UDFs, dynamic SQL, zero-copy cloning, and time travel capabilities Data Warehouse Architecture - Lead enterprise data modeling, dimensional modeling, and modern data warehouse design patterns in Snowflake Strong proficiency with Python 3, Object-Oriented Programming & Design Patterns for data pipeline development Experience with Python data frameworks (e.g., Pandas, SQLAlchemy, Apache Airflow) and APIs (FastAPI, Flask) 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 (CloudFormation, CDK, Terraform) Knowledge of DataOps practices (CI/CD for data pipelines, automated testing) Knowledge of Agile, Scrum, Jira methodologies What You’ll Bring Degree in Computer Science, Data Engineering, Engineering, or similar technical major 5+ years of software development experience with 3+ years of advanced Snowflake experience Expert-level Snowflake skills including performance optimization, cost management, and enterprise-scale implementations Deep understanding of data warehousing concepts, ETL/ELT patterns, and modern data architecture principles Extensive experience with databases at enterprise scale, including both SQL and NoSQL technologies Demonstrated ability to master advanced data platform technologies suchs as real-time streaming, data orchestration, data governance, security, monitoring, or performance optimization Proven track record of architecting and implementing business-critical data solutions that improve stability, security, performance, and scalability Demonstrated ability to effectively communicate complex data architecture concepts to engineers, product owners, project managers, and business stakeholders Demonstrated experience in multi-team collaboration and agile development practices, particularly in data-focused environments Ability to collaborate across teams and design data systems that address architectural gaps and scalability challenges Preferred: Financial Services and mortgage industry experience, particularly with regulatory reporting and risk management data requirements Why You Should Join As one of the top mortgage lenders in the country, Pennymac has helped over 4 million lifetime homeowners achieve and sustain their aspirations of home. Our vision is to be the most trusted partner for home. Together, 4,000 Pennymac team members across the country are guided by our core values: to be Accountable, Reliable and Ethical in all that we do. Pennymac is committed to conducting a business that makes positive contributions and promotes long-term sustainable growth and to fostering an equitable and inclusive environment, where all employees and customers feel valued, respected and supported. Benefits That Bring It Home: Whether you're looking for flexible benefits for today, setting up short-term goals for tomorrow, or planning for long-term success and retirement, Pennymac's benefits have you covered. Some key benefits include: Comprehensive Medical, Dental, and Vision Paid Time Off Programs including vacation, holidays, illness, and parental leave Wellness Programs, Employee Recognition Programs, and onsite gyms and cafe style dining (select locations) Retirement benefits, life insurance, 401k match, and tuition reimbursement Philanthropy Programs including matching gifts, volunteer grants, charitable grants and corporate sponsorships To learn more about our benefits visit: https://pennymacnews.page.link/benefits For residents with state required benefit information, additional information can be found at: https://www.pennymac.com/additional-benefits-information Compensation: Individual salary may vary based on multiple factors including specific role, geographic location / market data, and skills and experience as defined below: Lower in range - Building skills and experience in the role Mid-range - Experience and skills align with proficiency in the role Higher in range - Experience and skills add value above typical requirements of the role Some roles may be eligible for performance-based compensation and/or stock-based incentives awarded to employees based on company and individual performance. Salary $90,000 - $150,000 Work Model OFFICE

Responsibilities

The Sr Data Platform Engineer - Snowflake Specialist leads the design, optimization, and management of the enterprise data warehouse infrastructure, focusing on advanced Snowflake implementations. This role supports critical business functions through sophisticated data platform development and ensures scalable and performant data solutions across the organization.