🔹 Experience: 12+ years in Data Architecture / Data Engineering
Key Requirements
1. Strong experience in Data Architecture, Data Engineering & Data Warehousing
2. Mandatory hands-on experience with Databricks
3. Strong expertise in Microsoft Azure data and cloud services
4. Experience designing and implementing modern data platforms / Lakehouse architectures
5. Strong knowledge of Azure Databricks, Azure Data Factory, Azure Data Lake Storage (ADLS) and related Azure data services
6. Experience with ETL/ELT pipelines, data integration and data modeling
7. Strong understanding of SQL, Python and Spark
8. Experience with Data Governance, Data Security, Data Quality and Master Data Management
9. Ability to define data architecture standards, frameworks and best practices
10. Experience working with business and technical stakeholders to translate requirements into scalable data solutions
Must Have
✅ Databricks experience
✅ Azure Data Platform experience
✅ Data Architecture experience
✅ Azure Databricks / Spark
✅ Data Lake / Lakehouse architecture
✅ Strong SQL & Python