Das ist der Job
Build scalable data pipelines and data integration frameworks.
Darum lohnt es sich
Collaborate with business and technology teams to develop data strategies and roadmaps. Hands‑on experience with ETL/ELT, data integration, and modern data pipelines.
Background in AI, Generative AI, and enterprise data modernization initiatives. #J-18808-Ljbffr Design and implement enterprise data architectures including Data Lakes, Data Warehouses, Data Fabric, and MDM solutions. Define data governance, quality, lineage, and security standards.
Enable AI/ML initiatives through robust data engineering and architecture practices. Optimize data platforms for performance, scalability, and reliability. Requirements 10+ years of experience in Data Architecture and Data Engineering. Strong expertise in Master Data Management (MDM), Data Fabric, Data Lakes, and Enterprise Data Platforms.
Experience with cloud platforms (AWS, Azure, or GCP). Knowledge of AI/ML data requirements and analytics platforms. Experience with data governance, metadata management, and data quality frameworks. Strong communication and stakeholder management skills.
Preferred: Experience with Databricks, Snowflake, Microsoft Fabric, Informatica MDM, Collibra, or similar platforms.
