Cloud Data Architect - Analytics & AI Platforms

HCLTech; City Of London; On-site; GBP 90,000 - 120,000; Full time

Job summary

HCLTech is seeking a Data Architect to design and deliver cloud-based data, analytics, and AI/ML platforms in a regulated enterprise environment. You will define end-to-end data architectures across ingestion, storage, transformation, and consumption layers, guiding engineering teams working with GCP BigQuery/BigLake, Snowflake, and dbt-based pipelines.

You will establish data models, governance, security, and access controls while enabling scalable analytics and AI use cases.

Qualifications

• Strong experience as a Data Architect/Analytics Architect.
• Hands-on experience with Snowflake and/or GCP analytics platforms.
• Experience supporting analytics and AI/ML data products.

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.

Skills

Data architecture

Analytics engineering

AI/ML enablement

SQL

Data governance

Stakeholder collaboration

Tools

dbt

Terraform

CI/CD pipelines

Job description

HCLTech is seeking a Data Architect to design and deliver cloud-based data, analytics, and AI/ML platforms in a regulated enterprise environment. You will define end-to-end data architectures across ingestion, storage, transformation, and consumption layers, guiding engineering teams working with GCP BigQuery/BigLake, Snowflake, and dbt-based pipelines.

You will establish data models, governance, security, and access controls while enabling scalable analytics and AI use cases.