Group Technical Architect at HCLTech

Apply for Group Technical Architect at HCLTech in London, ENG, GB. This Full time on site position offers great opportunities for career growth. 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

• 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.

Skill Requirements

Other Requirements