Group Technical Architect
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Group Technical Architect
City Of London, England
Job Summary
Key Responsibilities
Define end‑to‑end data architecture across ingestion, storage, transformation, and consumption layers.
Design and govern data models and data products on GCP (BigQuery/BigLake) and Snowflake .
Provide architectural direction for analytics engineering , including dbt‑based transformation layers .
Enable AI/ML use cases by designing feature datasets, training data pipelines, and model consumption patterns.
Ensure solutions meet data governance, security, and access control standards.
Act as architectural authority, working closely with data engineers, analytics engineers, and platform teams.
Required Technical Skills
Data Platforms
Google Cloud Platform – BigQuery, BigLake, Dataplex, GCS
Snowflake Data Cloud
Analytics Engineering
dbt (modelling, testing, documentation, CI/CD integration)
Strong SQL and analytical data modelling experience
AI / ML Enablement
Data architecture to support ML training and inference
Feature store / feature dataset design (conceptual or hands‑on)
Engineering & Delivery
CI/CD and Infrastructure as Code (Terraform, Helm or equivalent)
Secure data access and consumption patterns
Experience Required
Strong experience as a Data Architect / Analytics Architect in large‑scale environments.
Hands‑on architecture experience with Snowflake and/or GCP analytics platforms .
Experience supporting analytics and AI/ML data products .
Comfortable working with multiple delivery teams and stakeholders.
Key Responsibilities
Key Responsibilities
Define end‑to‑end data architecture across ingestion, storage, transformation, and consumption layers.
Design and govern data models and data products on GCP (BigQuery/BigLake) and Snowflake .
Provide architectural direction for analytics engineering , including dbt‑based transformation layers .
Enable AI/ML use cases by designing feature datasets, training data pipelines, and model consumption patterns.
Ensure solutions meet data governance, security, and access control standards.
Act as architectural authority, working closely with data engineers, analytics engineers, and platform teams.
Required Technical Skills
Data Platforms
Google Cloud Platform – BigQuery, BigLake, Dataplex, GCS
Snowflake Data Cloud
Analytics Engineering
dbt (modelling, testing, documentation, CI/CD integration)
Strong SQL and analytical data modelling experience
AI / ML Enablement
Data architecture to support ML training and inference
Feature store / feature dataset design (conceptual or hands‑on)
Engineering & Delivery
CI/CD and Infrastructure as Code (Terraform, Helm or equivalent)
Secure data access and consumption patterns
Experience Required
Strong experience as a Data Architect / Analytics Architect in large‑scale environments.
Hands‑on architecture experience with Snowflake and/or GCP analytics platforms .
Experience supporting analytics and AI/ML data products .
Comfortable working with multiple delivery teams and stakeholders.
Skill Requirements
Other Requirements