Plaid is seeking a Data Engineering Technical Leader to play a crucial role in their data-focused vision. This position is fundamental to fostering a data-driven culture and advancing their goal of delivering trustworthy, differentiated data products powered by the largest network of user financial profiles.
The role involves scaling data systems while maintaining data integrity and completeness. You'll be responsible for providing golden datasets and tooling to teams across engineering, product, and business functions, enabling quick and safe data exploration for insights that enhance Plaid's customer service effectiveness.
As a Data Engineer at Plaid, you'll work extensively with SQL and Python to build data workflows integrated with Golang applications. The tech stack includes modern tools like DBT, Airflow, Redshift, Atlan, and Retool for pipeline orchestration. You'll collaborate closely with cross-functional teams including data scientists, product analytics, business intelligence, software engineers, and product managers.
The engineering culture at Plaid is IC-driven, emphasizing bottom-up ideation and team empowerment. They're seeking technical leaders who are passionate about creating impact for consumers and customers, growing collaboratively, shipping MVPs, and improving existing systems.
Key focus areas include driving data standards and culture, delivering and scaling golden datasets, shaping unified data architecture, and mentoring junior engineers. The role offers competitive compensation, comprehensive benefits, and the opportunity to work with cutting-edge data technologies while solving complex challenges in the financial technology sector.