Senior Data Architect

The Opportunity A leading global consultancy organisation is seeking a skilled Data Architect to design and deliver robust, scalable data platforms on Google Cloud Platform (GCP). The ideal candidate will bring extensive experience in building and maintaining large-scale data warehouses, ensuring high standards of data quality, and adhering to best practices in data architecture. Key Responsibilities Define and develop the overall data strategy in line with client requirements and compliance standards. Lead and mentor a team of data engineers to implement scalable and efficient data solutions. Translate business needs into technical solutions by collaborating with both technical and non-technical stakeholders. Ensure the design and deployment of data platforms follow GCP best practices for performance, reliability, and security. Required Skills and Experience Proven background in designing data warehouse and data lake architectures. Demonstrable experience in building and operating large-scale data platforms on Google Cloud Platform, with a focus on data quality at scale. Hands-on expertise in core GCP data services such as BigQuery, Composer, Dataform, Dataproc, and Pub/Sub. Strong programming skills in PySpark, Python, and SQL. Proficiency in ETL processes, data mining, and data storage principles. Experience with BI and data visualisation tools, such as Looker or Power BI. Excellent communication skills, with the ability to effectively bridge technical and business discussions. Desirable Qualifications and Experience Degree (BSc, MSc, or PhD) in Computer Science, Mathematics, or a related field. Familiarity with alternative cloud and data platforms such as Databricks, Snowflake, Azure, or AWS. Knowledge of DevOps/DataOps methodologies and experience with CI/CD pipelines. Understanding of monitoring, logging, and troubleshooting in cloud-based environments. Google Cloud Professional Data Engine er certification (or equivalent) is highly advantageous.