Data Architect/Engineer

This is a hands-on Data Architect/Engineer role focused on Customer 360 data harmonization in the automotive and industrial solutions industry. The role is split approximately 20% architecture and 80% hands-on implementation using PySpark on Microsoft Fabric.

The position can be performed in English. Occasional travel to Nuremberg is expected every two to three months.

Background and experience

• University degree in business informatics, computer science or a comparable qualification, or alternative training combined with relevant professional experience.
• At least five years of professional experience in data engineering and/or data architecture, including designing and delivering data harmonization, master-data or customer-data integration solutions.

Technical skills

• Proven experience designing end-to-end medallion-architecture data platforms from raw through staging and trusted to semantic/gold layers, and translating them into working pipelines.
• Strong hands-on programming skills in PySpark and SQL, with the ability to build production harmonization logic personally.
• Hands-on experience with Microsoft Fabric Lakehouse architecture, including Delta tables, notebooks, schemas, semantic models, DirectLake, OneLake Security RBAC and RLS; experience with Azure Synapse or Databricks is also relevant if combined with willingness to work in Fabric.
• Data-modeling expertise for harmonization, including surrogate-key design, self-referencing hierarchies, deterministic deduplication and grain/cardinality resolution.
• Experience building semantic models and Power BI DirectLake star schemas on top of a Lakehouse.
• Experience integrating and reconciling heterogeneous source systems such as SAP customer hierarchies and Salesforce/CRM, including cross-system key reconciliation, bridge keys and entity resolution.
• Proficient understanding of distributed and cloud-computing principles, preferably Microsoft Azure, including Fabric, Synapse, Data Lake and Data Factory/Pipelines.
• Experience parameterizing solutions across sandbox, development, testing and production environments and promoting them through Git-based CI/CD.
• Experience with agentic data engineering, for example using GitHub Copilot Agents in Visual Studio Code to generate Fabric artifacts.

Additional skills

• Domain knowledge of SAP customer/account master data, including customer hierarchies and harmonized customer IDs.
• Knowledge of Salesforce account and opportunity structures.
• Knowledge of data governance, data lineage and data-quality frameworks.
• Knowledge of the medallion architecture concept and Delta Lake schema evolution.
• Familiarity with agile/Scrum delivery and notebook-driven development.
• Business-fluent English, spoken and written.
• Ability to engage business stakeholders directly, elicit harmonization requirements and translate them into concrete, documented data architecture.
• Strong interpersonal and communication skills, with the ability to bridge business and engineering teams and work effectively in a collaborative environment.
• Experience in agile environments with flat hierarchies and an agile, hands-on mindset.

• English-speaking working environment.
• Planned start: mid-October.
• Occasional travel to Nuremberg every two to three months.
• The role is structured with an approximate 20% architecture and 80% engineering split.

The customer operates in the automotive and industrial solutions industry. The customer name cannot be disclosed at this stage.