Summary: The Data Platform Architect (GCP/dbt) role involves designing and implementing a scalable and secure data architecture on Google Cloud Platform. The position requires evolving existing data platforms to meet strategic goals while leading a team of data engineers. The role emphasizes collaboration with stakeholders to optimize data accessibility and governance. This is a fully remote position with occasional travel to client sites.

Key Responsibilities:

• Design and implement a scalable, secure and high-performance data architecture
• Evolve our existing GCP-based data platform architecture to meet strategic goals
• Develop and maintain a scalable, robust, and secure data architecture encompassing all source system data, the Lakehouse and the consumption layer.
• Defining the data architecture security and access requirements to be Embedded.
• Lead the efforts on developing a complete and robust logical data model that can be deployed on the Lakehouse to enable stakeholders to derive the maximum value from myriad data sources.
• Develop robust data models and ingestion pipelines to optimise data accessibility
• Define security and governance frameworks for data storage and access
• Support data analytics and Business Intelligence efforts with a future proof data platform
• Lead and mentor a team of data engineers, driving best practices in cloud data management

Key Skills:

• Proven experience in data platform architecture with a focus on GCP, GCS, Big Query and cloud data solutions
• Strong background in ETL processes and data governance
• Hands on expertise with Airflow, DBT and modern data pipeline tools
• Ability to collaborate with stakeholders and translate business needs into scalable solutions
• Excellent communication skills and a passion for leveraging data to drive business impact

Salary (Rate): 550

City: undetermined

Country: UK

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT