PayPalSr Manager, Data Engineering
The Company
PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.
We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.
We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.
Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.
Job Summary:
This job participates in complex problem resolution and leads projects of diverse scope requiring an understanding of current business trends. They determine methods and procedures for new or special assignments and drive global process improvements through data-driven insights.
Job Description:
Essential Responsibilities:
- Lead complex data engineering projects, ensuring they meet business objectives and deliver actionable insights.
- Develop advanced data architectures and pipelines to analyze large datasets and solve complex business problems.
- Collaborate with senior leadership to identify data-driven opportunities for business growth and efficiency.
- Implement best practices for data management, analysis, and visualization.
- Ensure data governance and compliance with relevant regulations and standards.
- Provide mentorship and technical guidance to the data engineering team.
Minimum Qualifications:
- 8+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
- Experience leading others
Additional Responsibilities & Preferred Qualifications:
Job Summary:
PayPal is executing a strategic multi-year Marketing Transformation, building an integrated MarTech Platform that enables consistent, personalized digital experiences across PayPal brands. This role is at the heart of building this platform end-to-end - designing and developing the complete data infrastructure, pipelines, and systems that power our next-generation CDP-based Marketing Automation Platform.
This is a hands-on engineering management role requiring deep technical expertise combined with people leadership. You will be embedded in day-to-day execution - coaching, guiding, and mentoring engineers while demonstrating sharp technical skills through hands-on troubleshooting, bug fixes, alternate solution evaluation, and prioritization across multiple P1s. The role demands the ability to win over engineers through demonstrating technical depth and deep problem-solving skills.
In MarTech, Agentic AI is part of our first principles - you will be expected to guide your team in adopting Agentic AI and bring innovative thinking to data solutions. You will lead a team building enterprise-class data platforms processing billions of records across batch and real-time architectures. We need someone who can ramp up quickly and lead from the front through technical excellence.
Job Description:
Essential Responsibilities:
• Lead day-to-day engineering execution while staying hands-on with technical work - troubleshooting, code reviews, design reviews, and helping with bug fixes
• Win over engineers by demonstrating sharp technical chops - be the manager who can dive deep and solve hard problems alongside the team
• Coach, guide, and mentor engineers on technical skills, career growth, and engineering best practices
• Prioritize effectively across multiple P1s and competing demands, making real-time trade-off decisions
• Evaluate alternate technical solutions, helping the team navigate complex architectural decisions
• Guide the team in adopting Agentic AI - foster innovation and outside-the-box thinking for data solutions
• Build and lead a high-performing team of data engineers delivering enterprise-class data platforms at scale
• Drive operational rigor around engineering KPIs - quality, reliability, velocity, and technical debt
• Partner with Product, Architecture, and Program Management to balance roadmap against engineering principles
Expected Qualifications:
• 12+ years relevant experience and a Bachelor's degree OR an equivalent combination of education and experience
• Prior experience leading an Engineering Team
Additional Responsibilities & Preferred Qualifications:
Position Responsibilities:
• Ramp up quickly on systems, team dynamics, and business context to lead effectively from day one
• Be deeply embedded in day-to-day execution - attend standups, participate in technical discussions, review PRs, help unblock engineers
• Demonstrate technical leadership through hands-on contribution - debugging production issues, evaluating solutions, writing code when needed
• Champion Agentic AI adoption within the team - encourage experimentation and innovative approaches to data engineering
• Build a world-class engineering team through hiring, developing, and retaining top talent
• Drive delivery of data systems processing billions of records with high reliability and performance
• Manage the team through incidents and escalations, providing technical guidance and clear prioritization
• Create roadmaps for multiple scrum teams, translating high-level strategy into well-defined execution plans
• Track business impact of features, using data to make informed decisions about priorities and improvements
• Foster a culture of engineering excellence, learning, and continuous improvement
• Collaborate with cross-functional teams to evolve the data platform and deliver high-impact features
Technical Leadership Qualities:
• Win credibility through technical excellence - be the manager engineers want to work
• Lead from the front - be willing to get hands dirty solving problems alongside the team
• Strong coaching and mentoring skills - develop engineers technically and professionally
• Ability to make quick, sound technical decisions under pressure
• Excellent communication skills - translate between technical and business stakeholders
• Build trust through transparency, honesty, and follow-through
• Balance urgency with sustainability - drive results without burning out the team
Qualifications:
• Demonstrated deep hands-on expertise with enterprise-class data platforms and pipelines at scale
• Strong SQL skills with ability to troubleshoot and optimize complex queries
• Experience with both batch processing (Spark, Dataproc) and real-time/streaming systems (Kafka, Pub/Sub, Dataflow)
• Hands-on proficiency with Cloud data services. Preferably - BigQuery, Bigtable, Dataproc, Cloud Storage, Pub/Sub
• Strong programming background in Python with ability to review code and guide technical decisions
• Solid understanding of data architecture, data modeling, and distributed systems
• 3+ years of demonstrated people management experience building and leading engineering teams
• Proven experience leading teams within a fast-paced, high-growth environment
• Strong execution skills - track record of delivering complex projects through teams
• Experience with Agile methodologies, project planning, and estimation
Preferred Qualifications:
• Experience with Agentic AI - ability to guide teams in adopting Agentic AI and conceptualize innovative data solutions with outside-the-box thinking
• Experience in Marketing Technology (MarTech) or Advertising Technology (AdTech) domain
• Experience building Customer Data Platforms (CDP)
• Experience with Customer Segmentation and Activation across owned and paid channels
• Experience with real-time integration with third-party AdTech platforms
• Experience with Attribution and Analytics systems
Education:
Bachelor's degree in Computer Science, Engineering, or related technical field
Subsidiary:
PayPal
Travel Percent:
0
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The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is:
Primary Location | Pay Range:
San Jose, California | ($176,500.00 - $262,350.00 Annually)
Additional Location(s) | Pay Range:
Austin, Texas | ($160,500.00 - $238,700.00 Annually)
Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.
PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.
For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
Our Benefits:
At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset-you. That’s why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing—physical, emotional, and financial—delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.
Who We Are:
Click Here to learn more about our culture and community.
Commitment to Diversity and Inclusion
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
Belonging at PayPal:
Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.
Any general requests for consideration of your skills, please Join our Talent Community.
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.