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Principal Engineer - Data Infrastructure

2 hours, 48 minutes ago
Mexico
Full-time
Lead
Database Administrator
Data Science and Analytics
Apache Airflow AWS Dagster Databricks dbt Elasticsearch Git GitLab Go Kafka Kubernetes MySQL PostgreSQL Prefect Python React React Native Snowflake SQL TypeScript
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Sezzle

Sezzle

Sezzle is a payments company revolutionizing the buy now, pay later experience with interest-free installment plans, empowering consumers and merchants alike.

Diversified Financial Services
251-1K
Founded 2016
View All Jobs 39

Description

  • Own the end-to-end database and data warehousing infrastructure, including KPIs and SLAs for MySQL, Postgres, CDC capture, and Redshift.
  • Lead database and query performance optimizations.
  • Build and maintain tooling to manage, upgrade, migrate, and improve the data infrastructure.
  • Partner with development teams to ensure queries and schemas support product and business needs.
  • Evolve data systems to handle higher volumes of writes, events, and complex ETL processing.
  • Evaluate and integrate new technologies to guide the future of Sezzle’s data infrastructure.
  • Support data engineers and analysts with Redshift optimization, query tuning, modeling improvements, and cost management.

Requirements

  • 12+ years of experience in DBA, SRE, or Data Engineering roles, with a track record of scaling production-grade systems.
  • Deep expertise with MySQL, Postgres, and AWS Redshift or similar products.
  • Advanced proficiency in SQL.
  • Strong hands-on experience with data replication and ETL/ELT frameworks such as DBT and 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 strong communication and documentation skills.
  • Prior experience in high-growth, data-intensive fintech or similar regulated environments is preferred.
  • Knowledge of lakehouse architectures and modern tools such as Snowflake, Databricks, Iceberg, or Delta Lake is preferred.
  • Experience designing scalable, fault-tolerant data pipelines using orchestration tools such as Airflow, Dagster, or Prefect is preferred.
  • Familiarity with streaming technologies such as Kafka, Kinesis, Flink, or Spark Streaming is preferred.

Benefits

  • Salary range of $6,000-$12,500 USD per month, gross, based on location and experience level.
  • Full-time remote role.
  • Opportunity to work on a rapidly growing data infrastructure team at a high-growth fintech company.
  • Exposure to modern tooling and the chance to help shape the future data stack.
  • Work environment that values open source and building solutions before buying them.

Interested in this position?

Apply directly on the company website

Apply Now

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