About the job
Join us in building something extraordinary
At Wealthsimple, our mission is to empower everyone to achieve financial freedom by transforming the way they manage their finances. We leverage innovative technology to make financial services more transparent and affordable. As Canada's leading fintech company, we proudly serve over 3 million users and manage more than $100 billion in assets. The journey has just begun!
We are seeking a visionary who pays attention to detail and embraces simplicity. As a member of our dynamic team, you will be entrusted with ownership of your work, and encouraged to communicate openly while delivering solutions that enrich our clients' lives. Our culture thrives on collaboration, humility, and an unwavering commitment to quality.
Become a key player in our Canadian success story and help shape the financial future for millions. Explore our Culture Manual and discover more about how we operate.
The Data Foundation team, a crucial part of our Platform Engineering organization, is composed of skilled software developers and database administrators. We are divided into three specialized sub-teams: Data Stores, Data Integrations, and Data Streaming. We are looking for an experienced Senior Software Developer to join our Data Stores team.
In this pivotal role, you will be responsible for architecting, maintaining, and administering our core analytics data warehouses on Redshift and Snowflake. Collaborating closely with key stakeholders, you will ensure optimal operations for our fleet of RDS Aurora Postgres databases. These data stores are essential for powering critical financial operations and managing client data. The ideal candidate will possess deep technical expertise in at least one of these database technologies and a strong desire to learn the others.
Your key opportunities in this role include:
Designing, implementing, and maintaining database infrastructure across development, testing, and production environments.
Monitoring database performance and executing optimizations to enhance query efficiency.
Collaborating with Data Science, Engineering, and Product teams to ensure data integrity and implement scalable solutions as we expand.

