Lead data engineer

10 ott - Milano
Klarna

Build and operate Klarna's analytical data processing platforms on AWS, supporting large-scale batch and analytical workloads. Design robust data pipelines, table structures, and access patterns enabling efficient analytics, model training, and downstream consumption. Continuously evolve platform architecture, infrastructure, and AWS account foundations to support long‐term scale, cost efficiency, security, and reliability. Lead the design and implementation of core data processing systems using technologies such as AWS Glue, Spark, S3, Iceberg, Databricks, and Redshift. Set a high bar for code quality, maintainability, and operational excellence, acting as a role model for best practices in the domain. Drive architectural decisions with a holistic view of Klarna's data landscape, downstream consumers, and cross-team dependencies. Design and evolve IAM models, roles, and access patterns to enable secure and scalable use of data platforms across teams and accounts.
Identify and solve complex problems related to performance, scalability, cost, security, and compliance.



Act as a technical leader in cross-team initiatives, facilitating discussions, aligning stakeholders, and delivering production-ready solutions.
Build and operate Klarna's analytical data processing platforms on AWS, supporting large-scale batch and analytical workloads. Design robust data pipelines, table structures, and access patterns enabling efficient analytics, model training, and downstream consumption. Continuously evolve platform architecture, infrastructure, and AWS account foundations to support long‐term scale, cost efficiency, security, and reliability.
Lead the design and implementation of core data processing systems using technologies such as AWS Glue, Spark, S3, Iceberg, Databricks, and Redshift. Set a high bar for code quality, maintainability, and operational excellence, acting as a role model for best practices in the domain. Drive architectural decisions with a holistic view of Klar

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