Big Data Systems Developer
5 days ago
Join Our Team
At Plaid, we're passionate about creating a world where everyone has access to financial services that are simple, transparent, and empowering. We're seeking a talented Data Architect to join our team and help us achieve our mission.
About the Role
As a Data Architect, you'll be responsible for leading our data engineering efforts, shaping the future of our data systems and culture. You'll collaborate with senior leadership to define and execute our data engineering strategy, working closely with cross-functional teams to deliver high-quality solutions.
Key Responsibilities
Serve as primary technical DRI, defining and executing the long-term technical roadmap to build and sustain a data-driven culture at Plaid.Collaborate with senior leadership to shape Plaid's data engineering strategy and roadmap, ensuring alignment with the company's product goals and overall vision.Design golden datasets that meet the needs of key stakeholders, providing reliable and actionable insights to inform business decisions.Lead critical data engineering projects that foster collaboration across teams, driving innovation and efficiency throughout the company.Mentor engineers and operations staff on best practices for data organization, ensuring seamless integration with existing systems.Evaluate emerging industry tools and practices, recommending adoption to maintain Plaid's position at the forefront of data engineering.Owning core SQL and Python data pipelines, ensuring their reliability, scalability, and efficiency in powering our data lake and warehouse.Requirements
10+ years of experience in data engineering, with a proven track record of building scalable data systems and pipelines.Experience working with massive datasets, developing robust data models and pipelines on top of them.Deep appreciation for schema design and ability to evolve analytics schemas on top of unstructured data.Advanced knowledge of SQL as a flexible, extensible tool and experience with modern orchestration tools like DBT, Mode, and Airflow.Hands-on experience with performant data warehouses and lakes, such as Redshift, Snowflake, and Databricks.Building and maintaining batch and real-time pipelines, using technologies like Spark and Kafka.Champion for data privacy and integrity, always acting in the best interest of consumers.What You'll Get
A competitive salary range of $204,120 - $360,000 per year, depending on factors such as scope and responsibilities, work experience, and location.A comprehensive benefit plan, including medical, dental, vision, and 401(k).-
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