Lead Data Engineer

Overview

In this role you will build and operate Klarna’s analytical data processing platforms on AWS, enabling large-scale batch and analytical workloads. You will shape data pipelines, table structures, and access patterns to support analytics, model training, and downstream consumption. You’ll evolve platform architecture for scale, cost efficiency, security, and reliability, while leading cross-team data initiatives and upholding high code quality and operational excellence.

Responsabilità Build and operate analytical data processing platforms on AWS to support batch and analytical workloads

Design robust data pipelines, table structures, and access patterns for analytics, model training, and downstream consumption

Evolve platform architecture and AWS foundations for scale, cost efficiency, security, and reliability

Lead core data processing system design using AWS Glue, Spark, S3, Iceberg, Databricks, and Redshift

Set high standards for code quality, maintainability, and production readiness

Drive architectural decisions with awareness of the broader data landscape and cross-team dependencies

Design and evolve IAM models, roles, and access patterns for secure, scalable data platform use

Identify and resolve complex performance, scalability, cost, security, and compliance challenges

Act as a technical leader in cross-team initiatives, delivering production-ready solutions

Requisiti fondamentali Extensive experience building analytical data platforms on AWS with Spark processing and S3-backed data lakes

Strong Python skills, distributed data processing, and infrastructure-as-code (Terraform) experience

Experience with modern table formats (Iceberg) and data warehouses (Redshift)

Experience designing and operating IAM and AWS account setups for data platforms

Product-oriented mindset focused on durable, scalable solutions rather than one-off pipelines

Experience operating systems in production with monitoring, incident handling, and iteration

Cross-functional collaboration

Technical leadership

Problem-solving orientation

Python

Spark

AWS Glue