Data Architect

• Design and evolve data architecture aligned with business, analytical, and engineering needs.
• Lead end to end architecture for cloud native data solutions on AWS.
• Define standards, patterns, and best practices for data modelling, data flows, and platform usage.
• Develop scalable Snowflake based data architectures including warehouses, databases, schemas, roles, and secure data sharing., (Please specify if the position is an individual one or part of a team)
• Architect and optimize ETL/ELT pipelines using services such as:

• DBT, AWS Glue, Lambda, Kinesis, S3, EMR

• Design high performance Snowflake data models (3NF, dimensional, Data Vault, etc.)
• Optimize query performance, clustering, micro-partitioning, and resource consumption
• Work closely with Data Engineers, Analysts, Product Managers, and Business Stakeholders
• Provide architectural guidance and mentorship across data and engineering teams
• Translate business needs into scalable data solutions

• Strong grasp of data modelling, data warehousing concepts and performance optimization techniques
• Hands on expertise with Snowflake (architecture, performance tuning, security, Snowpipe, streams/tasks)
• Strong experience with AWS cloud data ecosystem, ideally including: S3, Glue, Lambda, Redshift, EMR, Kinesis, IAM, CloudWatch
• Strong SQL skills and proficiency in Python, DBT
• Understanding of data governance frameworks (e.g., Collibra, Alation is a plus)
• Hands-on exposure to cloud platforms, especially AWS
• Experience working in agile teams

Experience Required

• 6+ years in Data Architecture, Data Engineering, and related fields with a similar remit to the descriptions here
• 2+ years' experience working as an independent contractor