Hybrid Data Architect: AWS/Snowflake, Modern Data Platform

TRIA; Greater London; Hybride; GBP 90 000 - 120 000; Plein temps

Avantages offerts par ce poste

Hybrid work

Central London location

Flexible hours

Car allowance

Résumé du poste

TRIA, a major European transport group, is recruiting a Data Architect in Central London to lead the group data architecture strategy across BI and analytics. The role reports to the Group Data Director and balances architectural excellence with practical delivery in a large multi-country environment.

You will partner with Lead BI Engineers and senior stakeholders to shape data standards, evaluate new technologies, and ensure scalable, secure data solutions that support self-service insights

Qualifications

• Solid experience in data architecture for enterprise-scale solutions.
• Proficient in data modelling techniques (dimensional, data vault, medallion).
• Strong SQL skills and cloud data platform experience (AWS, Databricks, Snowflake).
• Knowledge of ETL/ELT, data lakes/lakehouse, warehousing architectures, and data governance.

Responsabilités

• Define and deliver the group data architecture strategy across BI and analytics.
• Establish technical vision, standards, and frameworks for scalable, secure data solutions.
• Collaborate with Lead BI Engineers and senior stakeholders; act as technical authority on data architecture.
• Evaluate, pilot, and adopt new technologies to improve data architecture.

Connaissances

Data architecture

Data modelling

SQL

Cloud platforms

ETL/ELT

Data governance

Outils

AWS

Databricks

Snowflake

Azure

GCP

Description du poste

TRIA, a major European transport group, is recruiting a Data Architect in Central London to lead the group data architecture strategy across BI and analytics. The role reports to the Group Data Director and balances architectural excellence with practical delivery in a large multi-country environment.

You will partner with Lead BI Engineers and senior stakeholders to shape data standards, evaluate new technologies, and ensure scalable, secure data solutions that support self-service insights