Data Architect

• Design and evolve the target data architecture on Snowflake and AWS, covering ingestion, storage, transformation, and serving layers
  
  


• Define data models (dimensional, Data Vault or domain-oriented) that support both BI and AI/ML use cases
  
  


• Architect data pipelines for batch and near-real-time processing (e.g. AWS Glue, Lambda, Kinesis, Step Functions, Snowpipe, dbt)
  
  


• Prepare the platform for AI workloads, including feature data, training datasets, vector/embedding storage, and RAG data pipelines (e.g. Snowflake Cortex, Amazon Bedrock, SageMaker)
  
  


• Set standards for data quality, lineage, metadata, and governance, including access control, masking, and GDPR compliance
  
  


• Optimise Snowflake performance and cost through warehouse sizing, clustering, and query tuning
  
  


• Work directly with client stakeholders, both business and IT, to translate requirements into architecture decisions and roadmaps
  
  


• Guide and review the work of data engineers, and document architecture decisions (ADRs, diagrams)
  
  

Requirements

• 8 years in data engineering or data architecture, including at least 3 years in an architect or technical lead role
  
  


• Hands-on production experience with Snowflake (data modelling, security, performance tuning, cost management)
  
  


• Strong knowledge of AWS data services (S3, Glue, Lambda, IAM, Redshift/Athena or similar)
  
  


• Advanced SQL and working knowledge of Python
  
  


• Experience designing data platforms that support ML or AI use cases
  
  


• Understanding of data governance, security, and privacy requirements in enterprise environments
  
  


• Experience working with large, international organisations and multiple stakeholders
  
  


• Fluent English (C1); you'll work daily with an international client
  
  

• dbt, Airflow/MWAA, Terraform or other IaC
  
  


• Snowflake Cortex, Snowpark, or Amazon Bedrock / SageMaker
  
  


• Experience with GenAI architectures (RAG, vector databases, LLM integration)
  
  


• Snowflake SnowPro or AWS certifications (e.g. Data Engineer / Solutions Architect)
  
  


• Streaming (Kafka, Kinesis)