Principal Data Architect
Access SystemsFull Time
Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
This is an onsite position in Singapore.
Candidates need a Bachelor's or Master’s degree in a technical field like Computer Science or Engineering, 3-5 years of experience in data warehouse development including big data and modeling, strong understanding of data warehouse architecture, and proficiency in at least 2 programming languages such as SQL, Python, Scala, Java, or Go.
Preferred qualifications include experience with big data platforms like Hive, Spark, Airflow, Kafka, Flink; relational databases; AWS data tools like Snowflake; backend engineering skills; data security and compliance; plus strong communication skills, team spirit, curiosity, and openness to new technologies.
This information is not specified in the job description.
Plaid emphasizes strong communication skills, team spirit, curiosity, and openness to new technologies, and is committed to being an equal opportunity employer without discrimination based on protected characteristics.
Connects financial accounts to apps securely
Plaid simplifies financial data management for individuals and businesses by connecting various financial accounts to apps and services. Its main product is a set of APIs that allow developers to integrate financial data into their applications, enabling users to track spending, initiate payments, and access financial services all in one place. Plaid serves a wide range of clients, including app developers and financial institutions, and is used by popular apps like LendingTree and Square. Unlike many competitors, Plaid focuses on providing a comprehensive and scalable platform that supports various financial use cases, such as transactions and identity verification. The company's goal is to enhance the way users interact with their financial data, making it easier and more secure.