Lead Data Platform Engineer - AWS, Spark & Iceberg

Klarna

Bardi

In loco

EUR 65.000 - 90.000

Tempo pieno

2 giorni fa
Candidati tra i primi
Generatore di candidature

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Descrizione del lavoro

Klarna is seeking a Lead Data Engineer to build and operate analytical data platforms on AWS for 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 will lead cross-team data initiatives, design robust architectures for scale, and uphold high standards for code quality, security, and reliability on our data platform stack including Glue, Spark, S3, Iceberg,

Competenze

  • Extensive experience building analytical data platforms on AWS with Spark processing and S3-backed data lakes.
  • Strong Python skills and experience with IaC (Terraform).
  • Ability to lead cross-team data initiatives and set production-grade standards.
  • Experience designing data pipelines, table structures, and access patterns.

Mansioni

  • Build and operate analytical data platforms on AWS for batch and analytics workloads.
  • Design data pipelines, tables, and access patterns for analytics and model training.
  • Evolve platform architecture for scale, cost efficiency, security, and reliability.
  • Lead data processing system design using Spark, AWS Glue, S3, Iceberg, Databricks, Redshift.
  • Set high standards for code quality, maintainability, and production readiness.
  • Collaborate across teams to drive architectural decisions and delivery.

Conoscenze

Python
Spark
AWS
Terraform
IAM
Data modeling
Cross-team collaboration

Strumenti

AWS Glue
Databricks
Iceberg
Redshift

Descrizione del lavoro

Klarna is seeking a Lead Data Engineer to build and operate analytical data platforms on AWS for 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 will lead cross-team data initiatives, design robust architectures for scale, and uphold high standards for code quality, security, and reliability on our data platform stack including Glue, Spark, S3, Iceberg,

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