The role focuses on designing, implementing, and optimizing Pinterest's data control plane, including the Workflow platform and Data context platform. The team is responsible for empowering engineers and data scientists to build critical data pipelines and ML features. Candidates will lead complex technical projects and initiatives, shaping the long-term technical direction for scalable and reliable systems. Collaboration with stakeholders across the organization is essential to unlock innovations and enhance performance.

• 10+ years of relevant industry experience designing, building, and operating large-scale production distributed systems.
• Strong experience designing and maintaining infrastructure platforms.
• Proficiency in programming languages like Python or Java.
• Proven ability to lead complex technical initiatives and influence architecture across teams.
• Strong collaboration, communication, and problem-solving skills, with a drive for technical excellence and innovation.
• Bachelor's degree in a relevant field such as Computer Science, or equivalent experience.

• Design, implement, optimize, and operate Pinterest’s data control plane.
• Collaborate with stakeholders and partner teams across the organization to design technologies that unlock innovations.
• Lead complex technical projects and initiatives driving them from architecture through execution.
• Lead the team to strengthen reliability and performance.
• Shape the long-term technical direction for scalable, reliable, and modernized data control planes.
• Engage with and contribute to open source communities such as Apache Airflow, Datahub, and Jupyter notebook.