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.