onsite
Senior Data Modeler / Data Vault Expert - Azure Databricks / Lakehouse - Deichmann SE
Software Engineer
Lead the design and implementation of enterprise data models using Data Vault methodology on Azure Databricks, driving the Lakehouse architecture to enable scalable analytics and data governance.
About the role
Key Responsibilities
- Architect and maintain enterprise‑wide Data Vault 2.0 models on Azure Databricks, ensuring alignment with business requirements and data governance standards.
- Design and optimize Lakehouse pipelines, leveraging Delta Lake, Spark SQL, and Python to ingest, transform, and store large volumes of structured and semi‑structured data.
- Collaborate with data engineers, analysts, and business stakeholders to translate analytical needs into robust data models and efficient ETL processes.
- Implement performance tuning, data quality checks, and monitoring solutions to guarantee high availability and reliability of data assets.
- Document modeling decisions, data lineage, and best practices, and provide mentorship to junior team members.
Requirements
- 5+ years of experience in data modeling, preferably with Data Vault 2.0 and Lakehouse concepts.
- Proficient in Azure Databricks, Spark, Delta Lake, SQL, and Python for data engineering tasks.
- Strong understanding of ETL/ELT patterns, data quality, and metadata management.
- Excellent communication skills and ability to translate technical concepts to non‑technical stakeholders.
- Experience with cloud data platforms (Azure, AWS, or GCP) and CI/CD for data pipelines is a plus.