Principal Data Architect

The role

You will design and implement modern, scalable data solutions for clients. You will architect, build, and optimise new data platforms or migrate existing solutions to Google Cloud.

What you will do

• Lead the analysis, design, and execution of data-driven solutions using Google Cloud technologies.
• Serve as an expert in data transformation, storage, retrieval, security, and governance.
• Provide architectural direction to engineers.
• Apply expertise in data modeling approaches including 3NF, Data Vault, Star Schema, and One Big Table.
• Collaborate with clients to define and refine data strategy.
• Work alongside Architecture, Engineering, and Data Science teams to design production-ready solutions.
• Design and implement solutions using Google Cloud, dbt Labs, Snowflake, and Fivetran.

Required qualifications

• Proven experience designing and building data warehouse / lakehouse solutions using technologies like BigQuery, Azure Synapse, Snowflake, Databricks
• Strong expertise in data modeling and solution architecture
• Experience with data platforms with data quality, security, privacy, and governance controls built-in
• Ability to take projects from concept to completion
• Demonstrated problem-solving skills with a strong technical foundation
• Exceptional written and verbal communication skills
• Ability to build and maintain strong relationships with key external stakeholders
• Hands-on experience with Python, Java, and SQL

About the company

Datatonic is Google Cloud's premier partner in AI. They provide expertise in machine learning, data engineering, and analytics on Google Cloud.