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Principal Engineer - Data Infrastructure

3 hours, 18 minutes ago
Turkey
Full-time
Lead
Data Engineer
Data Science and Analytics
Apache Airflow AWS Dagster Databricks dbt Elasticsearch Git GitLab Go Kafka Kubernetes Microservices MySQL PostgreSQL Prefect Python React React Native Scala 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 147

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, migrate, and upgrade data infrastructure.
  • Partner with development teams to ensure production-ready queries and a stable schema for product and business needs.
  • Evolve data systems to handle high volumes of writes, events, and complex ETL as the company scales.
  • Evaluate and integrate new technologies to guide the evolution of Sezzle’s data infrastructure.
  • Support data engineers and analysts with Redshift tuning, warehouse performance improvements, modeling, and cost management.
  • Contribute to the design of scalable, fault-tolerant data pipelines and modern data platform patterns.

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.
  • 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.
  • Excellent communication and documentation skills in a fast-paced, collaborative environment.
  • Prior experience in high-growth, data-intensive fintech or similar regulated environments is preferred.
  • Knowledge of lakehouse architectures and tools such as Snowflake, Databricks, Iceberg, or Delta Lake is preferred.
  • Experience designing scalable, fault-tolerant data pipelines with 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 data tooling and the chance to help shape future architecture.
  • Open-source-first engineering culture.

Interested in this position?

Apply directly on the company website

Apply Now

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