We are seeking a Data and AI Technical Lead to drive the Discovery and Design phase of a large-scale MandA program for a Retail and CPG client. This role will lead the technical direction across a complex, multi-cloud data landscape spanning Azure, AWS, GCP, Databricks, and Snowflake. You will oversee and guide senior Data Architects, ensuring architectural alignment, technical quality, and business relevance. The role sits at the intersection of business strategy, data architecture, and platform engineering, acting as a key liaison between client stakeholders, IT teams, and the Chief Data Office. Required Skills and Experience Core Technical Expertise 15+ years in Data and Analytics, with 5+ years in leadership roles Strong hands-on experience across: Azure cloud, ADF, DevOps, Power BI, Fabric workspaces AWS cloud, S3, cross-cloud connectivity, API Gateways GCP (BigQuery, GCS, Dataflow) Deep expertise in: Databricks (Lakehouse architecture, Delta Lake, Unity Catalog, Delta Sharing, Pyspark, Spark SQL etc.) Snowflake (data warehousing and data sharing, Iceberg, ) Strong understanding of: Data architecture patterns, industry benchmarking, Data integration patterns (ETL/ELT, streaming, CDC, APIs) Data governance and metadata management Architecture and MandA Experience Proven experience in MandA data integration, platform consolidation, or carve-outs Experience designing multi-cloud or hybrid data architectures Familiarity with enterprise architecture frameworks (T