Group Technical Architect

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