
Enterprise Data Architect
12 hours ago
The role involves driving the design and delivery of enterprise data solutions. You will work on conceptual, logical, and physical architecture for data platforms and products.
- Develop solution architectures for data analytics and AI/ML projects.
- Guide projects through the entire solution lifecycle from requirements to deployment.
Required skills include:
- Minimum 7+ years in solution architecture, data architecture, or platform engineering roles.
- Proven experience delivering end-to-end data solutions in complex environments.
Key skills required are:
- Solution Architecture & Data Platforms: designing cloud-native and hybrid data solutions, integration of SAP and non-SAP data sources.
- Databricks Lakehouse Platform: Medallion Architecture, Delta Lake & DLT Pipelines, PySpark Workbooks, Spark SQL & SQL Warehouse, Unity Catalog, Genie.
- AWS Cloud Services: IAM, S3, Lambda, EMR, Redshift, Bedrock.
- Programming: Python, SQL, PySpark, Spark, Scala.
Candidates with certifications in Databricks, AWS, or Solution Architecture are encouraged to apply.
Experience with SAP ERP, S/4HANA, DataSphere, ABAP, and CDS views is a plus.
A background in manufacturing or enterprise analytics environments is also beneficial.
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