Senior Manager, Data Engineering
Founded in 2017, NinjaHoldings works to give everyday Americans better access to financial services than traditional institutions typically provide. Through our CreditNinja and NinjaCard brands, we offer digital banking and lending products designed for consumers often overlooked, paired with incentives that support long-term financial improvement. Our Edge brand extends this expertise to other companies, providing underwriting, fraud detection, and analytics services. Headquartered in Chicago with a distributed global workforce, we are a lean, growing organization committed to advancing consumer finance in the US.
Job Summary
This position will lead the team responsible for the data platforms and pipelines that power reporting, analytics, operational decision making, and future AI capabilities across the company.
This is a technical leadership role focused on setting direction, developing the team, and making sure our data platform continues to evolve with the needs of the business. The person in this role should have enough technical depth to step in when needed, participate in architecture discussions, review designs, and help solve difficult problems.
Our current stack includes Snowflake, dbt, Fivetran, Meltano, PostgreSQL, and AWS. We are also modernizing our warehouse architecture around a Medallion model and building a stronger foundation for analytics and AI.
We are looking for someone who sees Data Engineering as a platform capability for the entire company, not simply a team that maintains pipelines and supports reporting. The right person will think beyond today's reporting requirements, build reliable systems today, and make architectural decisions that give us more options tomorrow. We want someone who can help us build a data platform that will support the company several years from now, including larger data volumes, more advanced analytics, automation, and AI powered applications. That means making data easier to trust and use, improving the effectiveness of the team, and...
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