Principal Engineer – Data Infrastructure

🕒 March 10

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Sezzle

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2016

💳 Fintech

👥 B2C

🛍️ eCommerce

Fintech • B2C • eCommerce

Sezzle is a financial technology company that offers a "buy now, pay later" service, allowing consumers to purchase products and pay for them in four interest-free installments over six weeks. The Sezzle app provides users with a flexible financing alternative to traditional credit cards, enabling instant approval decisions without impacting credit scores. Sezzle partners with various top brands, including Amazon, Walmart, and Target, to offer in-app and in-store payment options. The company's mission is to empower consumers financially by providing more financial freedom and control. It is available as a mobile app, with millions of downloads and high user ratings, and works towards accessibility and inclusion on its platform.

📋 Description

• End to end ownership of our database and data warehousing infrastructure, its KPIs and its SLAs, including MySQL, Postgres, CDC capture, and Redshift. • Lead optimizations in database and query performance. • Build and maintain tooling to help manage and upgrade our data infrastructure, continually improving with migrations and optimizations. • Partner with Development to ensure we ship solid queries against a battle-tested schema to meet the needs of our products and business. • Help Sezzle evolve our data systems beyond the current scale and stack with whatever tooling is necessary to handle processing high volumes of writes and events while performing complex ETL. • Evaluate and integrate new technologies, guiding the evolution of Sezzle’s data infrastructure. • Help data engineers and analysts optimize Redshift and warehouse performance, including query tuning, modeling improvements, and cost management.

🎯 Requirements

• 12+ years of experience in DBA, SRE, or Data Engineering roles, with a strong track record of scaling production-grade systems. • Deep expertise with MySQL, Postgres, AWS Redshift or similar products, including performance tuning, table design, and workload management. • Advanced proficiency in SQL. • Strong hands-on experience with data replication and ETL/ELT frameworks, especially DBT, AWS DMS, or similar tools. • Strong understanding of data modeling, distributed systems, and warehouse/lake design patterns. • Ability to work in a fast-paced, collaborative environment with excellent communication and documentation skills.