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.