Senior Data Architect – Databricks / Snowflake

We are seeking a Senior Data Architect with deep hands‑on expertise in Databricks and/or Snowflake to support both pre‑sales and delivery within our services organization. This role combines solution architecture, client engagement, delivery leadership, and AI‑focused data strategy. Expected time split: 40% sales support, 60% delivery. Key Responsibilities • Support sales by shaping solutions, responding to RFPs/RFIs, and presenting demos and architectures. • Partner with senior client stakeholders to define data strategy, platform design, and technology direction. • Lead end‑to‑end data platform implementations on Databricks/Snowflake, ensuring scalable and high‑quality delivery. • Align data architecture with AI/ML initiatives and guide clients on data readiness for AI. • Mentor and develop data engineering and architecture teams. • Contribute to internal best practices, reference architectures, and reusable assets. The Pre-requisites • 15+ years in data architecture or data engineering. • Proven consulting/services experience and ability to influence senior client stakeholders. • Strong pre‑sales experience including solution creation and RFP responses. • Hands‑on leadership of large data platform implementations • Deep expertise in Databricks and/or Snowflake. • Strong cloud knowledge (AWS, Azure, or GCP). • Data modelling, Spark, SQL, ETL/ELT, and orchestration tools. • Understanding of data governance, security, and modern data platform design. • Knowledge of AI/ML requirements and how data platforms enable them. Preferred Skills • Experience with lakehouse architectures, MLflow, Delta Lake, Snowpark, Snowpipe, or similar. • Knowledge of MLOps, data observability, DevOps/CI-CD, and BI tools. • Cloud or platform certifications. • Excellent communication, client‑facing abilities, and solution articulation. • Hands‑on, consultative, and able to lead teams and delivery.