Principal Engineer, Cloud Data Infrastructure

PayPal
San Jose, CA, United States
1 day ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Cloud Database Databases Data Infrastructure Transaction Processing (Computing) Low Latency Data Management Machine Learning Operations Data Pipelines

Job description

Experteer Overview In this role you serve as the technical authority for Venmo’s data platform at massive scale, shaping architecture and guiding performance engineering across databases, data pipelines, messaging, and caching. You’ll remain hands-on while influencing multi-team strategy and mentoring the data platform community. You’ll champion AI-first practices and drive cross-functional technical conversations with executives. This is a high-impact position at PayPal, enabling reliable real-time processing for billions of transactions. You join a mission-driven team that values collaboration, innovation, and safety in financial technology. Compensation / Benefits * Set the technology roadmap for a domain * Provide strategic guidance to senior executives influencing multi-year business plans * Lead and mentor teams to improve overall engineering performance * Drive decisions on build vs. buy and leverage industry-standard vs. novel solutions * Sponsor resilience, failure injection testing, and business continuity planning * Identify cross-project themes and scalable opportunities across teams * Advocate and implement AI/ML integrations in data platform infrastructure Tasks * 10+ years of relevant experience * Bachelor’s degree (or equivalent) * Background in financial technology or payments processing * Experience supporting transaction processing with millisecond-level latency * Mentorship and leadership of senior engineers * Experience integrating AI/ML workflows into data platforms * Familiarity with modern data pipeline frameworks and real-time analytics architectures Key requirements * hybrid work model with 3 days in office * generous paid time off * healthcare coverage for you and family * resources for financial security * mental health support * equity and performance bonus potential

Requirements

_ testing, and business continuity planning * Identify cross-project themes and scalable opportunities across teams * Advocate and implement AI/ML integrations in data platform infrastructure Tasks * 10+ years of relevant experience * Bachelor’s degree (or equivalent) * Background in financial technology or payments processing * Experience supporting transaction processing with millisecond-level latency * Mentorship and leadership of senior engineers * Experience integrating AI/ML workflows into data platforms * Familiarity with modern data pipeline frameworks and real-time analytics architectures Key requirements * hybrid work model with 3 days in office * generous paid time off * healthcare coverage for you and family * resources for financial security * mental health support * equity and performance bonus potential

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