Snowflake Data Architect

Job Title: Data Architect

Organisation Overview:

Our Client is a leading organisation operating within the data management and technology industry. Renowned for fostering innovation, cultivating a dynamic work culture, and supporting continuous professional growth, they are committed to driving technological excellence. Known for their forward-thinking approach and investment in cutting-edge solutions, they offer a highly inclusive environment that values talent, collaboration, and strategic impact. Working with Our Client offers opportunities to be at the forefront of data architecture and enterprise data strategy, making it an excellent environment for those seeking to influence technology solutions at scale.

Role Summary:

An exciting opportunity has arisen to join Our Client as a Senior Data Architect, a role that is critical in shaping the future of their enterprise data landscape. This appointment is part of their strategic initiative to enhance data infrastructure, support AI/ML capabilities, and improve operational efficiencies. Reporting directly to the Chief Technology Officer, the Data Architect will lead high-level data architecture decisions, influencing the company's data strategy, platform development, and technological evolution. This position is ideal for a seasoned professional eager to drive innovation and operational excellence on a broad organisational level.

Responsibilities:

• Develop and maintain a comprehensive enterprise data architecture covering relational, NoSQL, vector, and graph databases, ensuring alignment with business objectives.
• Translate organisational strategy into scalable data models, standards, and patterns that support analytics, AI/ML projects, and operational systems.
• Lead the design, review, and optimisation of the Snowflake data platform, including schema standards, data modelling, 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.

Essential Skills & Experience:

• 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.

Application Call to Action:

If you possess the skills and experience outlined and are looking for a role that offers real strategic impact, we invite you to submit your CV for consideration. This opportunity is suited to candidates keen to lead large-scale data initiatives and influence enterprise data strategies within a forward-thinking organisation. We look forward to reviewing your application.