Data Architect- Retail experience

Retails Experience Focused Required Around 8-10 Years In Domain Data Architect- Retail experience 12- 15 years. Remote US Interview process 2 internal. Client round. 1 interview Must have skills : Domain Knowledge (Strong), Databricks, SQL (Strong), Data Modeling (Strong), Talend ETL Job Description Key Responsibilities: Work with client SMEs and architects during discovery, design, UAT and go-live. Should be able to assess existing warehouse/ETL landscapes and define modernization strategies. Solid knowledge of data modeling including (but not limited to) designing designing Bronze/Silver/Gold architectures and domain-oriented data models Design end-to-end Databrick pipelines for ingesting data from varied sources, applying data quality rules and transformations Ability to understand existing SQL & Stored procedures, and re-engineer into Databricks-native pipelines. Define reconciliation, governance, security and downstream integration patterns. Provide technical leadership, architecture reviews and support proposal/solutioning activities. Primary Skills Strong hands-on Databricks experience Strong PySpark, Spark SQL, Python and SQL skills Experience with Medallion architecture, Lakeflow Pipelines/Jobs, Auto Loader, ingestion patterns and Data Quality / Business Rules frameworks Strong knowledge of Unity Catalog, Data Modelling & Data governance Data warehouse migration and modernization experience. Good To Have Skills Redshift and Talend experience Databricks Apps and GenAI capabilities