Senior Data Architect
Role Specification – Senior Data Architect (Data, Analytics & AI)
Role Overview
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.