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We build the data and machine learning infrastructure to enable Plaid engineers to prototype and iterate on products and features built on top of consumer-permissioned financial data. Engineers on Data Infrastructure are domain experts in Data Warehouse, Data Lakehouse, Spark, Workflow Orchestration, and Streaming technologies. We scale our existing data pipelines in a performant and cost efficient way while creating the necessary abstractions to make developing on top of this platform extremely simple for other engineers at Plaid.
Job Responsibility:
Contribute towards the long-term technical roadmap for data-driven and machine learning iteration at Plaid
Leading key data infrastructure projects such as improving ML development golden paths, implementing offline streaming solutions for data freshness, building net new ETL pipeline infrastructure, and evolving data warehouse or data lakehouse capabilities
Working with stakeholders in other teams and functions to define technical roadmaps for key backend systems and abstractions across Plaid
Debugging, troubleshooting, and reducing operational burden for our Data Platform
Growing the team via mentorship and leadership, reviewing technical documents and code changes
Requirements:
5+ years of software engineering experience
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
Strong cross-functional collaboration, communication, and project management skills, with proven ability to coordinate effectively
Proficiency in coding, testing, and system design, ensuring reliable and scalable solutions
Demonstrated leadership abilities, including experience mentoring and guiding junior engineers
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