Engineering Manager, Data Transformation

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the engineering team focused on Data Transformation.

• Collaborate effectively with infrastructure and product engineering teams.

• Enhance the Data Transformation roadmap and its adoption within Stripe.

• Spearhead critical workstreams that deliver high-quality materialized datasets for Stripe's products and AI agents.

• Provide infrastructure and services that scale efficiently and reliably.

• Mentor, guide, and support fellow engineers.

• Assist in high-visibility infrastructure engineering initiatives and engage with stakeholders.

• Comprehend user requirements and prioritize engineering tasks accordingly.

• Oversee projects from their inception to completion while ensuring quality and punctuality.

• Offer hands-on technical leadership in areas such as architecture, design, vision, direction, requirements setting, and incident response.

• Develop the long-term Data Transformation roadmap in collaboration with company leadership.

• Promote collaboration, inclusivity, innovation, knowledge sharing, and continuous improvement.

• Work with recruiting to attract and hire talent, as well as to define hiring strategies.

⛳️ Requirements

• Minimum of 3 years of experience managing teams that have successfully shipped and operated data pipelines and critical distributed system infrastructure.

• Proven track record in recruiting and building high-performing teams.

• Strong focus on customer satisfaction and dedication to partnerships with other Stripe engineers.

• Ability to work cross-functionally, think rigorously, communicate clearly, and make or coordinate challenging decisions and trade-offs.

• Capability to excel with a high level of autonomy and responsibility in an ambiguous setting.

• Technical expertise to provide clarity to staff engineers regarding architecture and strategic technical decisions.

• Ability to foster a healthy and inclusive work environment.

• Preferred: experience with technologies such as Kafka, Flink, Spark, Airflow, Python, SQL, and API design.

• Preferred: strong written and verbal communication skills tailored for diverse audiences.

🏝️ Benefits

• Comprehensive health, dental, and vision insurance.

• Generous paid time off and parental leave policies.

• Professional development opportunities and continuous learning.

• Flexible work arrangements and a supportive work environment.