Negotiable
Undetermined
Undetermined
London, UK
Summary: The Senior Data Architect role involves designing and delivering cloud-based data, analytics, and AI/ML platforms, with a focus on scalable data architectures in a regulated enterprise environment. The position requires guiding engineering teams in utilizing GCP, Snowflake, and dbt ecosystems. The architect will ensure compliance with data governance and security standards while enabling AI/ML use cases. Strong experience in large-scale environments and hands-on architecture with relevant platforms is essential.
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.
Key Skills:
- Google Cloud Platform - BigQuery, BigLake, Dataplex, GCS
- Snowflake Data Cloud
- dbt (modelling, testing, documentation, CI/CD integration)
- Strong SQL and analytical data modelling experience
- Data architecture to support ML training and inference
- Feature store/feature dataset design (conceptual or hands-on)
- CI/CD and Infrastructure as Code (Terraform, Helm or equivalent)
- Secure data access and consumption patterns
- 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.
Salary (Rate): undetermined
City: London
Country: UK
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
We are seeking a Senior Data Architect to support the design and delivery of cloud-based data, analytics, and AI/ML data platforms.
The role focuses on defining scalable data architectures and guiding engineering teams across GCP, Snowflake, and dbt-based ecosystems in a regulated enterprise environment.
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.