Sr. MTS, Data Engineer

Position Responsibilities

• Must be a self-starter, work independently or as a team member. Proactively remove obstacles to ensure timely delivery of product and goals
• Write clean and solid code that scales over PB of data and enforce engineering excellence in the organization
• Improve data management efficiency through AI capabilities, better process and best practices
• Embed Privacy-by-Design principles into all data solutions and ensure compliance with regulatory requirements.
• Provide expertise across the data product development lifecycle spanning data engineering, architecture, and analytics to design and deliver reusable, accessible, and high-quality data solutions.
• Design data structures and taxonomies that support standardization, integration, and alignment with business processes.
• Deliver technical leadership through analytical thinking, innovation, and detailed specifications.
• Drive data product execution and adoption through a metrics-based approach
• Define and communicate data strategy for credit products, aligned with PayPal s technical direction, evolving credit strategies, and the external data ecosystem
• Strong product sense to identify data challenges and opportunities, and assess the impact of data-driven solutions
• Leverage enterprise frameworks, governance tools, and reusable architecture patterns for Credit Risk and cross organizations
• Foster influential cross-functional relationships through collaboration, proactive planning, and decisive leadership to design scalable solutions across platforms and products.

Technical Leadership Qualities

• Strong collaboration skills and ability to influence across all organizations and levels within the company
• Ability to communicate clearly and succinctly to all levels within the organization- translating the organizations goals into execution plans & metrics
• Possess the ability to connect, engage and lead with empathy
• Motivate others through a shared vision and confidence that empowers employees and teams to perform at their best
• Demonstrate ability to delegate work
• Operate with transparency and honesty in all interactions

Qualifications

• 12+ years of experience in enterprise data management, with deep expertise across disciplines including data governance, data architecture, and more.
• Experience with data management and governance tools and technologies
• Experience with enabling data products within large organizations
• Proven experience independently developing and implementing recommended approaches to complex/ambiguous problems while making thoughtful trade-offs
• Deep understanding and hands-on experience in data platforms
• Strong technical acumen, being able to quickly understand technical details of a product or platform
• Strong execution skills-ability to deliver results
• Excellent verbal and written communication and collaboration skills to effectively communicate across diverse groups within PayPal
• Comfortable working in a fast-paced, results-oriented environment
• Shows initiative and exhibits a can-do attitude
• Demonstrated willingness to be flexible and adaptable to changing priorities with the ability to motivate in a cross-functional organization
• Able to see the big picture -the end-to-end connection points associated with data and systems
• Exhibit a passion for Data Management and Analytics
• Strong business acumen and interest to deeply understand PayPal s credit use cases, data producers and data consumers needs/pain points

Bonus Qualifications

• Familiarity with AI/ML pipelines or AI-enhanced data systems (data discovery, data quality monitoring, or integrating ML into ETL flows)
• Passion for bridging the gap between data engineering and machine learning engineering.
• Experience enabling ML/AI workloads, such as building feature stores, training data pipelines, or model monitoring infrastructure.
• Experience in financial services, with a strong preference for exposure to the credit risk domain.

Education

• BS or advanced degree in Engineering, Computer Science, or related technical field.