Data Architect (Snowflake, DBT, AWS)

Key Responsibilities

• Define and maintain enterprise data architecture standards and best practices.
• Design conceptual, logical, and physical data models across staging, integration, and reporting layers.
• Architect scalable ETL/ELT solutions for complex enterprise data environments.
• Lead data mapping activities from source systems into Snowflake data platforms.
• Drive data governance, lineage, quality, and documentation initiatives.
• Establish performance optimisation strategies across Snowflake environments.
• Partner with engineering, analytics, and business stakeholders to deliver robust data solutions.

Required Skills & Experience

• Proven experience as a Data Architect within enterprise-scale environments.
• Strong expertise in Snowflake, DBT, and cloud-based data platforms.
• Advanced knowledge of data warehousing methodologies including Kimball, Inmon, and Data Vault.
• Extensive SQL and data modelling experience.
• Strong understanding of ETL/ELT architecture and data integration frameworks.
• AWS experience including services such as S3, Glue, EMR, and PySpark.
• Experience defining data standards, governance frameworks, and architectural roadmaps.

Desirable

• Experience with Iceberg and modern lakehouse architectures.
• Exposure to AI-enabled data platforms and automation.
• Previous experience leading data transformation or cloud migration programmes.