The Data Architect will design and implement a scalable, flexible data architecture to advance Rentokil Initial's digital marketing analytics and insights capabilities. This role is critical for overcoming current data integration challenges and creating a unified framework that supports consistent, reliable reporting across multiple regions and channels.
Working within the Google Cloud Platform (GCP), the Data Architect will establish a strong data foundation that accelerates the organisation's journey towards greater data maturity, enabling actionable insights and improved marketing performance globally.
Key Responsibilities
Scalable Data Architecture Development
Design and implement a future-proof data architecture within GCP, supporting the integration of diverse global marketing data sources (e.g., paid search, CRM, social media)
Ensure the architecture accommodates evolving needs, including new channels, regions, and data sets.
Unified Data Model Development:
Develop a consistent data model for cross-channel marketing analytics, ensuring compatibility with platforms such as GA4, CRM, and digital marketing.
Maintain a robust framework for global and regional reporting.
Data Integration and ETL Optimisation:
Design and manage ETL pipelines using GCP tools (e.g., Dataflow, Cloud Composer) to automate and optimise data ingestion from marketing platforms.
Ensure seamless and efficient data flow into analytics environments.
Collaboration with Analytics and Implementation Teams:
Partner with Digital Analytics, Tracking Implementation, and Data Quality teams to align data architecture with business needs.
Support stakeholders by enabling access to high-quality, actionable data.
Data Quality and Governance:
Work with the Data Quality Engineer to implement data governance practices, ensuring consistency, accuracy, and compliance with GDPR, CCPA and other regional regulations.
Establish and document clear data standards and integration processes.
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