Data Engineering Manager

PayPal - Austin, TX

Full-time - Senior

Hybrid - Austin, TX

Credit Intermediation and Related Activities

About the position

The Data Engineering Manager at PayPal will lead the development of the new Developer Data Platform, focusing on enhancing developer productivity through data-driven insights. This role combines leadership of a talented team of data engineers and analysts with hands-on architectural responsibilities, aiming to streamline software delivery processes and improve overall engineering excellence.

Responsibilities

• Build and lead a high-performing data engineering team, providing mentorship and career development opportunities.
• Define and execute the data engineering strategy for developer productivity platforms, ensuring alignment with company objectives.
• Design and oversee the implementation of scalable data architectures for data collection, processing, and analysis.
• Collaborate with product managers, data scientists, and software engineers to identify data needs and deliver solutions.
• Define the data ingestion, processing, and storage strategy for developer tools and the SDLC.
• Establish and enforce best practices for data governance, quality, and security.
• Stay abreast of industry trends and advocate for innovative data solutions.
• Collaborate with stakeholders to define and implement key metrics for measuring developer productivity.
• Design and develop reports and visualizations for actionable insights.
• Communicate effectively with cross-functional teams to manage expectations and ensure alignment.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 8+ years of experience in data engineering, with a minimum of 3 years in a leadership role.
• Proven track record in designing and implementing large-scale data systems.
• Experience with enterprise-scale release management applications like IBM UrbanCode Velocity.
• Familiarity with data visualization tools (e.g., Tableau, Looker) and analytics frameworks.
• Strong understanding of big data technologies (e.g., Hadoop, Spark, Kafka) and cloud platforms (e.g., AWS, GCP, Azure).
• Excellent analytical and problem-solving skills with strong business acumen.
• Demonstrated expertise in DORA, SPACE, and other developer productivity metrics.
• Exceptional communication and interpersonal skills.

Benefits

• Flexible work environment
• Employee shares options
• Health insurance
• Life insurance