AI-Driven Enterprise Data Architect — AWS & Snowflake

Arrows; Greater London; On-site; GBP 77,000 - 129,000; Full time

Job summary

Arrows is seeking an experienced Senior Data Architect to join a major enterprise data transformation programme in the aviation data and analytics space. You will help redesign and modernise the data estate to support AI, advanced analytics and real-time data capabilities.

You will work closely with engineering, product, data and AI teams, shaping the target architecture while remaining close to delivery to drive change.

Qualifications

• Extensive experience as a Senior Data Architect in enterprise environments.
• Led large-scale data transformation and modernisation programmes.
• Strong hands-on experience with AWS and Snowflake.
• Solid knowledge of Databricks, Neo4j and modern cloud platforms.
• Expertise in data modelling, schema design and data architecture patterns.
• Proficient in SQL and data analysis; able to communicate complex concepts.

Responsibilities

• Lead the design and evolution of enterprise data architecture across a large-scale programme.
• Drive data interoperability across siloed estates, creating a connected data ecosystem.
• Design architectures enabling AI, analytics, and real-time data capabilities.
• Lead architectural decisions across AWS, Snowflake; exposure to Databricks.
• Collaborate with engineers to ensure practical, scalable designs.
• Define data modelling approaches and data structuring techniques.
• Ensure governance, lineage, privacy and metadata principles are embedded.
• Translate architecture into business language and align stakeholders.
• Balance long-term direction with delivery team needs.

Skills

Data architecture

Data modelling

SQL

Data governance

Stakeholder communication

Delivery focus

Tools

AWS

Snowflake

Databricks

Neo4j

AWS Bedrock

Job description

Arrows is seeking an experienced Senior Data Architect to join a major enterprise data transformation programme in the aviation data and analytics space. You will help redesign and modernise the data estate to support AI, advanced analytics and real-time data capabilities.

You will work closely with engineering, product, data and AI teams, shaping the target architecture while remaining close to delivery to drive change.