PENNYMAC · 5 hours ago
Sr Data Platform Engineer
Westlake Village, CA
Full-time
Onsite
Mid, Senior Level
$90K/yr - $150K/yr
5+ years expPennymac is a specialty financial services firm focused on the mortgage industry. The Sr Data Platform Engineer - Snowflake Specialist will lead the design, optimization, and management of the enterprise data warehouse infrastructure, primarily focusing on advanced Snowflake implementations to support critical business functions.
BankingFinanceFinancial ServicesLendingMortgage
Responsibilities
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
Qualification
Required
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
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 such 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
Benefits
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
Company
PENNYMAC
Pennymac is a home loan lending company that offers financial services.
1001-5000 employees
H1B Sponsorship
PENNYMAC has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (48)
2024 (42)
2023 (33)
2022 (44)
2021 (65)
2020 (34)
Funding
Current Stage
Public CompanyTotal Funding
$2.33B2025-12-11Post Ipo Debt· $75M
2025-08-07Post Ipo Debt· $650M
2024-05-20Post Ipo Debt· $850M
Leadership Team
Amar Nadig
Senior Vice President of Enterprise Data
Kevin Ryan
Senior Managing Director and Chief Strategy Officer
Recent News
MarketScreener
2025-12-20
2025-12-16
2025-11-06
Company data provided by crunchbase