Data Solutions Architect

It's more than a job

In this IT role, you will manage, develop, and support the technology infrastructure that powers Kuehne+Nagel’s global systems and operations. This contribution is vital to making both special and ordinary moments in the lives of people a reality. In fact, your work enables our teams to deliver fresh fruit, time-sensitive healthcare products and much more to people all around the world. Working in IT at Kuehne+Nagel contributes to more than we imagine.

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As a Data Solutions Architect (m/f/d), you will empower data product teams by designing scalable, efficient, and future-proof data architectures. You will ensure cloud-based infrastructure is leveraged optimally across data products and systems, providing strategic guidance on data processing, cloud development, and data warehousing. You will play a key role in integrating solutions into the data mesh ecosystem, aligning them with infrastructure best practices and organizational needs.

How you create impact

• Act as a reference point for architecture definition and data product development in a data mesh setting, which also serves operational applications.
• Serve as a contact for data product teams, providing onboarding and best-practice guidelines for modern data processing.
• Support data product teams throughout their entire lifecycle – from ideation and specification to architectural design, prototyping, and production integration.

What we would like you to bring

• Proven experience as a senior data engineer or architect in AWS cloud environments, working within a DevOps culture.
• Skilled in designing scalable, maintainable end-to-end data flows (ingestion, transformation, storage, access, governance) and selecting the right tools/configurations.
• Hands-on expertise with data pipelines and orchestration (batch, micro-batch, real-time streaming) using Snowflake, Spark, Kafka, plus experience with stream processing engines (Spark Structured Streaming, Flink, or Kafka Streams); familiarity with Dagster/dbt and AWS Glue is a plus.
• Strong knowledge of CI/CD pipelines, Infrastructure as Code (Terraform), DevOps practices, and code modularity/testing/deployment.
• Understanding of modern data architecture patterns (data mesh, event-driven, domain-driven design), metadata management, cataloguing, and governance.
• Able to design reusable, comprehensible technical solutions, lead architecture discussions, and document design decisions.
• Experience with synchronous/asynchronous API design and balancing consumer needs, source constraints, and business priorities.