Senior Snowflake Architect for Pharma

I need a battle-tested data architect who has spent the past decade delivering large-scale engineering solutions and the last five years doing so almost exclusively on Snowflake. You will guide a full modernization programme for a US-based pharmaceutical client, so direct pharma exposure is essential. Your mission is to assess the current on-prem and cloud data estate, then craft a future-proof architecture built around Snowflake while seamlessly integrating Databricks for advanced processing and Dataiku for governed data science. Every recommendation must be defensible at deep technical level, as I will put you in front of executives and engineering leads to explain the why as much as the what. I value credentials: SnowPro Advanced Architect is non-negotiable, and familiarity with SnowConvert AI will let us accelerate legacy migrations. You should already have led at least two end-to-end Snowflake modernisation programmes for US or EU clients, ideally steering both the business roadmap and the low-level engineering patterns. Deliverables I expect: • Current-state assessment and gap analysis • Target Snowflake ecosystem blueprint, including Databricks and Dataiku touchpoints • Migration playbook with SnowConvert AI patterns called out • Technical-depth presentation deck and walk-through sessions for client stakeholders I will review success against clear acceptance criteria: completeness of the blueprint, performance and security best practices reflected in the design, and the client’s confidence after the technical presentations. If you thrive on complex data challenges and enjoy going deep on Snowflake, let us get started.