Responsible AI Tech Lead

 About The Role  

Project Role :Responsible AI Tech Lead

Project Role Description :Ensure the ethical and responsible use of artificial intelligence (AI) technologies. Design and deploy Responsible AI solutions; align AI projects with ethical principles and regulatory requirements. Provide leadership, fosters cross-functional collaboration, and advocates for ethical AI adoption.
Must have skills :Snowflake Data Warehouse

Good to have skills :NAMinimum
5 year(s) of experience is required

Educational Qualification :15 years full time education
Summary:As a Responsible AI Tech Lead, you will ensure the ethical and responsible use of artificial intelligence technologies. Your typical day will involve designing and deploying Responsible AI solutions, aligning AI projects with ethical principles and regulatory requirements, and providing leadership to foster cross-functional collaboration. You will advocate for the adoption of ethical AI practices, ensuring that all projects adhere to established guidelines and contribute positively to the organization and society at large. Snowflake Data Architect:Role:Designs the end-to-end data architecture across all layers from source systems to Fabric Gold and DataverseResponsibilities:Analyze existing Snowflake schemas and objects (tables, views, procedures).Identify source systems and tables for full and incremental loads.Optimize Snowflake SQL queries for performance.Implement incremental logic using watermark columns (last updated/created).Export data using Fabric Pipelines or external tools (ADF, Python, etc.).Configure Fabric connectors to access Snowflake securely (via ODBC/JDBC or native Fabric connector).Transfer extracted data to ADLS Gen2 (Raw zone).Use Fabric Shortcuts to link ADLS folders into Lakehouse Bronze layer.Develop pre-migration and post-migration validation queries.Check for row counts, null values, duplicates, and data type mismatches.Participate in reconciliation logic and ensure data completeness.Document Snowflake source tables with metadata.Capture table dependencies and lineage across schemas.Map Snowflake data structures to their equivalents in Fabric.Provide metadata to notebook developers for cleansing in Silver layer.Align with data modelers to map source-to-target fields (Gold layer).
Additional Information:- The candidate should have minimum 5 years of experience in Snowflake Data Warehouse.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 
15 years full time education