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Data Expert
2 weeks ago
Key Requirements for Success
We are seeking a seasoned data professional to design and deliver large-scale data platforms. This role requires expertise in modern data architectures, cloud solutions, and end-to-end solution delivery in complex environments.
- Collaborate with stakeholders to gather and analyze business, data, and technical requirements for new and evolving data solutions.
- Develop conceptual, logical, and physical solution architectures for data platforms, data products, analytics, and AI/ML projects.
- Data Architectures & Cloud Solutions:
- 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
- Databricks Lakehouse Platform:
- Medallion Architecture
- Delta Lake & DLT Pipelines
- PySpark Workbooks
- Spark SQL & SQL Warehouse
- Unity Catalog (data governance, lineage)
- Genie (query performance, indexing)
- Security & Role-Based Access Control
- Programming:
- Python, SQL, PySpark, Spark, Scala
- AWS Cloud Services:
- IAM, S3, Lambda, EMR, Redshift, Bedrock
- Solution Delivery:
- Familiarity with DevOps and CI/CD processes
- Solution documentation and architecture diagramming
- Performance tuning and cost optimization
- Experience: Minimum 7+ years in solution architecture, data architecture, or platform engineering roles.
- Proven experience delivering end-to-end data and analytics solutions in large-scale, complex environments.
- Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.