pul liBuild and operate Klarna's analytical data processing platforms on AWS, supporting large-scale batch and analytical workloads. /li liDesign robust data pipelines, table structures, and access patterns enabling efficient analytics, model training, and downstream consumption. /li liContinuously evolve platform architecture, infrastructure, and AWS account foundations to support long‑term scale, cost efficiency, security, and reliability. /li liLead the design and implementation of core data processing systems using technologies such as AWS Glue, Spark, S3, Iceberg, Databricks, and Redshift. /li liSet a high bar for code quality, maintainability, and operational excellence, acting as a role model for best practices in the domain. /li liDrive architectural decisions with a holistic view of Klarna's data landscape, downstream consumers, and cross-team dependencies. /li liDesign and evolve IAM models, roles, and access patterns to enable secure and scalable use of data platforms across teams and accounts. /li liIdentify and solve complex problems related to performance, scalability, cost, security, and compliance. /li liAct as a technical leader in cross-team initiatives, facilitating discussions, aligning stakeholders, and delivering production-ready solutions. /li /ul h3What you will do /h3 ul liBuild and operate Klarna's analytical data processing platforms on AWS, supporting large-scale batch and analytical workloads. /li liDesign robust data pipelines, table structures, and access patterns enabling efficient analytics, model training, and downstream consumption. /li liContinuously evolve platform architecture, infrastructure,



and AWS account foundations to support long‑term scale, cost efficiency, security, and reliability. /li liLead the design and implementation of core data processing systems using technologies such as AWS Glue, Spark, S3, Iceberg, Databricks, and Redshift. /li liSet a high bar for code quality, maintainability, and operational excellence, acting as a role model for best practices in the domain. /li liDrive architectural decisions with a holistic view of Klarna's data landscape, downstream consumers, and cross-team dependencies. /li liDesign and evolve IAM models, roles, and access patterns to enable secure and scalable use of data platforms across teams and accounts. /li liIdentify and solve complex problems related to performance, scalability, cost, security, and compliance. /li liAct as a technical leader in cross-team initiatives, facilitating discussions, aligning stakeholders, and delivering production-ready solutions. /li /ul h3Who you are /h3 ul liStrong experience building analytical data platforms on AWS, including Spark-based processing and S3-backed data lakes. /li liSolid hands‑on skills with Python, distributed data processing, and infrastructure-as-code (Terraform). /li liExperience working with modern table formats (e.g. Iceberg) and data warehouses (e.g. Redshift). /li liExperience designing and operating IAM and AWS account setups for data platforms, balancing security with developer usability. /li liA product-oriented mindset, focused on building durable, scalable solutions rather than one-off pipelines. /li liExperience operating systems in production and improving them through monitoring, incident learnings, and iteration. /li /ul /p #J-18808-Ljbffr

📌 Lead Data Engineer (Milano)
🏢 Klarna
📍 Milano