
Visionary Data Strategist
5 days ago
The ideal candidate will be responsible for designing, developing, and delivering end-to-end data solutions that align with our business objectives.
Key Responsibilities:- Work closely with stakeholders to gather and analyze business requirements for new data solutions.
- Develop conceptual, logical, and physical architectures for data platforms and analytics projects.
- Guide projects through the entire solution lifecycle, from design to deployment.
- Ensure seamless data flow between multiple sources (SAP and non-SAP).
- Define solution-level security and compliance requirements in partnership with data governance teams.
- Lead efforts in performance optimization and cost management.
- Produce clear technical documentation and architecture diagrams to support implementation and knowledge transfer.
Required Skills and Qualifications:
Solution Architecture & Data Platforms:- Designing data platforms and architecture (conceptual, logical, physical)
- Cloud-native and hybrid data solutions (Databricks Lakehouse, AWS)
- Integration of SAP and non-SAP data sources
- Medallion Architecture
- Delta Lake & DLT Pipelines
- PySpark Workbooks
- Spark SQL & SQL Warehouse
- Unity Catalog (data governance, lineage)
- Genie (query performance, indexing)
- Python, SQL, PySpark, Spark, Scala
- IAM, S3, Lambda, EMR, Redshift, Bedrock
- Familiarity with DevOps and CI/CD processes
- Solution documentation and architecture diagramming
- Performance tuning and cost optimization
Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.
Preferred qualifications include certifications in Databricks, AWS, or Solution Architecture, experience with SAP ERP, S/4HANA, DataSphere, ABAP, and CDS views, exposure to data mesh or data product management concepts, and background in manufacturing or enterprise analytics environments.
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