Lead Data Engineer in Milano, Italia

• 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.

What you will do

• 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.

Who you are

• Strong experience building analytical data platforms on AWS, including Spark-based processing and S3-backed data lakes.
• Solid hands‑on skills with Python, distributed data processing, and infrastructure-as-code (Terraform).
• Experience working with modern table formats (e.g. Iceberg) and data warehouses (e.g. Redshift).
• Experience designing and operating IAM and AWS account setups for data platforms, balancing security with developer usability.
• A product-oriented mindset, focused on building durable, scalable solutions rather than one-off pipelines.
• Experience operating systems in production and improving them through monitoring, incident learnings, and iteration.