Lead Data Architect

Trust In SODA; Düsseldorf; Hybrid; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading technology firm in Germany is seeking a Lead Data Architect to design cloud native data platforms using Azure and Databricks. The ideal candidate will have over 7 years of experience in data engineering and at least 2 years in a data architect role. Responsibilities include defining engineering standards, solving complex issues, and implementing best practices. Fluency in German is mandatory. This hybrid role allows for flexibility across multiple locations.

Qualifikationen

• 7+ years in data or platform engineering.
• At least 2 years as a data architect.
• German fluency is mandatory.

Aufgaben

• Architect cloud native data platforms on Azure and Databricks.
• Define engineering standards for data processing.
• Diagnose complex performance issues.
• Implement observability and reliability practices.

Kenntnisse

Data architecture

Cloud native data platforms

Python / PySpark

Java or Scala

ETL and ELT pipeline design

Tools

Azure

Databricks

Jobbeschreibung

Lead / Principal Data Architect | Germany (Hybrid)

I’m partnered with a firm that has been turning engineering excellence into consistent growth for over five decades, generating strong revenue while maintaining technical integrity and independence. They are now looking to hire a Lead Data Architect.

You’ll architect cloud native data platforms on Azure and Databricks, including workspace separation, Unity Catalog integration, lakehouse and medallion structures, compute patterns, access models and cost-efficient orchestration. You’ll define engineering standards for PySpark processing, streaming, metadata management and CI / CD for data. You’ll also diagnose complex performance issues, advise on governance and shape the tooling that supports the full data lifecycle. Delivery happens in small teams of 1–10 people, so your decisions have real impact.

You bring 7+ years in data or platform engineering and at least 2 years as a data architect. You’ve designed and delivered ETL and ELT pipelines, worked with large-scale distributed processing and understand how data platforms behave in production. You can code in Python / PySpark or are capable of reviewing, debugging and refactoring code to a high standard. Strong Java or Scala backgrounds are also welcome.

Expect :

• Architect platforms built on Fabric, Databricks Lakehouse and modern Azure or AWS services
• Influence ingestion and transformation patterns, schema evolution and Delta optimisation
• Lead decisions across compute patterns, cluster sizing, storage formats and table design
• Implement observability and reliability practices that scale under real workloads
• Work with strong engineering teams who expect technical leadership, not oversight
• Shape ML / AI infrastructure for model training, deployment and monitoring
• Solve the challenging edge cases internal teams typically avoid

German fluency is mandatory.

Hybrid in Germany across multiple locations.

If this feels like a good fit, send over your profile and we’ll take it from there.