Data Architect – Snowflake

Candidate Description

With over 18 years steering data-driven transformations, this data architect blends deep expertise in Snowflake, Azure and enterprise data-modelling with a proven track record across financial services and consulting giants. Adept at leading cross-functional teams, they navigate the full data-management life-cycle—from ingestion and integration to governance and analytics—leveraging tools like QLIK Replicate, Azure Data Factory and ThoughtSpot to deliver actionable insights. Their solid grounding in TOGAF principles and Electronic Engineering underpins a strategic approach to complex information-management challenges.

Demonstrating technical acumen through hands-on delivery, they architect scalable Business Data Vault and Data Mesh solutions, optimise performance on Teradata and Snowflake platforms, and orchestrate robust governance frameworks using Alation and Collibra. Key achievements include winning a Consulting Excellence Award for a major program, designing a multi-layer data-architecture foundation adopted enterprise-wide, and spearheading capital-domain models that aligned a major bank's Group Treasury with regulatory mandates. Proficient in Python, SQL and ETL tooling, they champion agile practices to accelerate value realisation and ensure resilient, audit-ready data products.

A collaborative leader, they mentor designers and engineers across onshore and offshore teams, foster design-governance forums and communicate ROI to executive steering committees. Their adaptability spans government, insurance, manufacturing and transportation sectors, illustrating an ability to distil complex requirements into pragmatic, future-proof architectures. By harmonising strategic vision with hands-on delivery, this professional consistently elevates data maturity, empowers self-service analytics and drives tangible business outcomes.