Role Summary The technical anchor of the engagement. Owns the end-to-end target-state architecture the medallion designs the silver/gold layer strategy and the narrative that ties platform capability decisions together into a single coherent roadmap and white paper. Key Responsibilities Lead the current-state architecture review of Snowflake SAP integration and the bronze/raw ingestion layer.Design the target-state medallion architecture including silver conformance standards and gold data-product patterns. Streams&Tasks;, Energetic Tables (for automating silver-layer refresh without hand-rolled orchestration) Snowpark (Python/Java/Scala) for transformation logic embedded in-platform Snowflake Cortex (LLM functions, Cortex Search/vector embeddings)- the architect needs to know how gold products get consumed by RAG pipelines or agentsTime Travel, zero-copy cloning, secure data sharing used in the reference-pattern build and in designing non-disruptive silver/gold rollout Should be capable enough to evaluate the pattern (SAP CDC approaches: SLT (SAP Landscape Transformation), SAP Datasphere/BW connectors, ODP-based extraction, or third-party CDC tools (Qlik Replicate, HVR/Fivetran)) that fits customers actual SAP landscapedbt (or Coalesce/Matillion)



for silver/gold transformation pipelines Azure Data Factory or Airflow for cross-system orchestration Facilitate architecture and whiteboarding workshops with Clients data architecture and platform stakeholders. Own the technical narrative of the white paper and roadmap ensuring consistency across all workstreams' inputs.Direct-line collaborate with the Cloud&Platform; Architect and Governance/MDM Consultant to keep platform-capability recommendations coherent. Guide the reference-pattern build for the 1–2 priority domains from an architecture st and point. Required Experience&Skills; 12+ years in data architecture including at least one full lifecycle as "head of data platform/data lake" spanning both build and run responsibility. Deep h ands-on experience designing medallion/Lakehouse architectures on Snowflake at enterprise scale. Experience integrating SAP-sourced data into a modern cloud data platform.Familiarity with AI/agent data-consumption patterns and what "AI-ready" data requires operationally. Qualifications&Certifications; (preferred) SnowPro Advanced Architect (or equivalent Snowflake certification). Azure or relevant cloud architecture certification (e.g. Azure Solutions Architect Expert). TOGAF or equivalent enterprise architecture certification is a plus.

📌 Lead Enterprise Data Architect, Mannady (Chennai) (India)
🏢 Important Group
📍 India