Snowflake Data Architect

Job Summary

Our Client is a leading organization operating within the data management and technology industry. They are committed to fostering innovation, cultivating a dynamic work culture, and supporting continuous professional growth. As a Senior Data Architect, you will play a crucial role in shaping the future of their enterprise data landscape.

Responsibilities

• Develop and maintain a comprehensive enterprise data architecture covering relational, NoSQL, vector, and graph databases, ensuring alignment with business objectives.
• Translate organizational strategy into scalable data models, standards, and patterns that support analytics, AI/ML projects, and operational systems.
• Lead the design, review, and optimization of the Snowflake data platform, including schema standards, data modeling, and performance tuning; ensure cost efficiency.
• Architect AI/ML data foundations, such as feature stores and embedding pipelines, to power advanced analytics and machine learning initiatives.
• Evaluate emerging database technologies and oversee proof-of-concept testing, migration planning, and adoption strategies for new systems.
• Establish and enforce data governance policies, security measures, and data quality standards in collaboration with security and compliance teams.
• Mentor and influence data engineering professionals, serving as a technical authority and trusted advisor across the organisation.
• Collaborate with cross-functional teams to ensure that data solutions meet both current and future business requirements.

Requirements

• A minimum of 10 years' experience in data architecture, data engineering, or related fields, with demonstrated progressive scope and leadership.
• Proven expertise in designing and managing production data systems, especially within Snowflake environments.
• Hands-on experience with relational (e.g., Snowflake, PostgreSQL), NoSQL (e.g., MongoDB, DynamoDB), vector (e.g., Pinecone, Weaviate), and graph (e.g., Neo4j) databases.
• Advanced knowledge of data modelling techniques such as 3NF, dimensional modelling, and Data Vault.
• Strong familiarity with data integration, ETL/ELT, CDC, streaming, and event-driven architectures.
• Excellent communication skills, capable of translating complex technical concepts for diverse audiences, including executive leadership.
• Demonstrated ability to navigate ambiguity and influence stakeholders without formal authority.

Desirable Skills & Experience

• Experience with modern data stack tools such as dbt, Airflow, or Fivetran.
• Cloud platform expertise (AWS, Azure, GCP), including infrastructure as code practices.
• Knowledge of data security, lineage, and governance tools.
• Background working within healthcare, veterinary, or multi-site service organisations.
• Proven track record of applying emerging data technologies to solve strategic business challenges.