- 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
- Strong SQL and analytical data modelling experience
AI / ML Enablement
- Data architecture to support ML training and inference
- 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
- Strong SQL and analytical data modelling experience
AI / ML Enablement
- Data architecture to support ML training and inference
- 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.
At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.
HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026totaled $14.8billion.
#J-18808-Ljbffr
Group Technical Architect in London employer: HCL Technologies Limited
HCL Technologies Limited is an exceptional employer located in the vibrant City of London, offering a dynamic work culture that prioritises employee growth and development. With a strong focus on customer service excellence and operational efficiency, employees benefit from comprehensive training programs and opportunities to enhance their skills while contributing to meaningful projects. The collaborative environment fosters innovation and teamwork, making it an ideal place for those seeking a rewarding career in program and project management.
