Data Architect (Snowflake)

As a Data Architect at AND Digital, you will define and govern enterprise data architecture with a focus on Snowflake to enable BI, analytics, data science and AI-driven use cases. You will translate business needs into scalable, secure cloud data platforms and guide cross-functional engineering teams. Your work shapes data strategy, quality and accessibility while maximizing Snowflake value. This role offers meaningful impact in a collaborative, innovation-driven environment.

• 25 days holiday + flexible Bank Holidays
• Pension: 6% employer + 2% employee
• Aviva healthcare cover
• Flexibenefit allowance
• Life Assurance
• Parental Benefits

• Define and evolve data strategy, standards and roadmaps balancing scalability, security and cost
• Design and govern Snowflake architectures for ingestion, modelling, performance, and data sharing
• Lead data platform thinking across microservices, data ownership and event-driven integration
• Architect end-to-end data flows across APIs, streaming, CDC, batch and ETL/ELT with quality and observability
• Provide technical leadership and governed architecture decisions with agile teams
• Address risk, security and resilience in cloud data architectures
• Experiment with AI-assisted engineering tools to evaluate benefits and limitations

• Deep expertise in Snowflake as an architectural platform
• Experience with data ingestion, modelling, performance tuning and workload management in cloud environments
• Strong knowledge of data modelling across relational, NoSQL, graph, time-series and lakehouse stores
• Proficiency in event streaming platforms (Kafka, Kinesis) and data integration patterns
• Familiarity with DBT and Dagster for semantic modelling and data pipelines
• Background in building secure, governed data architectures with regulatory considerations
• Experience with end-to-end data pipelines (APIs, streaming, CDC, ETL/ELT)
• Leadership in partnering with engineering and product teams in agile settings
• Experience in legacy modernization (Oracle, Sybase) and migration strategies

• Collaborative mindset
• Strategic thinking
• Clear communication with technical and non-technical stakeholders
• Snowflake platform design and governance
• Data modelling and semantic modelling (dbt)
• Event streaming (Kafka, Kinesis)