Senior Software Engineer (Data Infrastructure)

Join Plaid as a Senior Software Engineer specializing in Data Infrastructure. In this role, you will be a domain expert in Data Warehouse, Data Lakehouse, Spark, Workflow Orchestration, and Streaming technologies. You will scale existing data pipelines, contribute to the long-term technical roadmap, lead key data infrastructure projects, and collaborate with stakeholders across the company. Additionally, you will mentor and lead junior engineers.

• Contribuer à l'évolutivité des pipelines de données existants de manière performante et rentable, tout en créant les abstractions nécessaires pour simplifier le développement.
• Diriger des projets clés d'infrastructure de données, tels que l'amélioration des chemins de développement ML, la mise en œuvre de solutions de streaming hors ligne.
• Collaborer avec les parties prenantes d'autres équipes pour définir les feuilles de route techniques des systèmes backend clés.
• We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
• Proficiency in coding, testing, and system design, ensuring reliable and scalable solutions
• Strong cross-functional collaboration, communication, and project management skills, with proven ability to coordinate effectively
• Demonstrated leadership abilities, including experience mentoring and guiding junior engineers
• 5+ years of software engineering experience
• [Nice to have] Experience with Databricks, Airflow, AWS EMR
• Extensive hands-on software engineering experience, with a strong track record of delivering successful projects within the Data Infrastructure or Platform domain at similar or larger companies
• Deep understanding of one of: ML Infrastructure systems, including Feature Stores, Training Infrastructure, Serving Infrastructure, and Model Monitoring OR Data Infrastructure systems, including Data Warehouses, Data Lakehouses, Apache Spark, Streaming Infrastructure, Workflow Orchestration