Note: The job is a remote job and is open to candidates in USA. Sezzle is a fintech company focused on revolutionizing the shopping experience through innovative payment solutions. They are seeking a Principal Engineer for their Data Infrastructure to oversee database management, optimize performance, and integrate new technologies to support data-driven decision-making.

Responsibilities

• 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

Skills

• 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
• Prior experience in high-growth, data-intensive fintech or similar regulated environments
• Knowledge of lakehouse architectures and modern stacks such as Snowflake, Databricks, Iceberg, or Delta Lake
• Some background in designing scalable, fault-tolerant data pipelines using modern orchestration tools (Airflow, Dagster, Prefect, etc.) processing anywhere from 100GB to 1 TB of new data a day
• Familiarity with streaming technologies (Kafka, Kinesis, Flink, Spark Streaming)
• High enthusiasm for using AI to be as productive as possible

Benefits

• Unlimited PTO, volunteer hours and sabbatical
• Life, STD/LTD, medical, dental and vision insurance
• Highly discounted LifeTime gym membership
• 401k with match
• Collaborative fun co-workers
• The opportunity to join the fastest growing FinTech alongside a team of motivated and driven individuals

Company Overview

Company H1B Sponsorship