We are seeking a Data & AI Technical Lead to drive the Discovery & Design phase of a large‑scale M&A program for a Retail & 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 & Experience
Core Technical Expertise
- 15+ years in Data & 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 & data sharing, Iceberg, )
- Strong understanding of:
- Data architecture patterns, industry benchmarking,
- Data integration patterns (ETL/ELT, streaming, CDC, APIs)
- Data governance & metadata management
Architecture & M&A Experience
- Proven experience in M&A data integration, platform consolidation, or carve‑outs
- Experience designing multi‑cloud or hybrid data architectures
- Familiarity with enterprise architecture frameworks (TOGAF or equivalent)
Leadership & Stakeholder Skills
- Experience managing or leading senior architects or technical teams
- Strong communication skills with the ability to influence C‑level stakeholders
- Ability to bridge business strategy and technical execution
- Experience working in consulting or client‑facing roles
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