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Sr Data Platform Engineer

Sr Data Platform Engineer

PennyMacThousand Oaks, CA, United States
2 days ago
Job type
  • Full-time
Job 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 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 :

For residents with state required benefit information, additional information can be found at :

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

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Data Platform Engineer • Thousand Oaks, CA, United States

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