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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 Engineer certification (or equivalent) is highly advantageous.
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