Digital Marketing Data Architect (12 months)

Rentokil Initial Careers; Crawley; Hybrid; GBP 60,000 - 75,000; Full time

Job summary

A leading company is seeking a Digital Marketing Data Architect to design a scalable data architecture within Google Cloud Platform. This role focuses on integrating diverse marketing data sources and ensuring data quality and governance. Ideal candidates will have extensive experience in data architecture, particularly in digital marketing environments, and will work closely with analytics teams to enhance marketing performance globally. The position offers a competitive salary and hybrid working options.

Benefits

Competitive salary and bonus scheme

Hybrid working

Rentokil Initial Reward Scheme

23 days holiday, plus 8 bank holidays

Employee Assistance Programme

Death in service benefit

Healthcare

Free parking

Qualifications

• Minimum 5 years in data architecture or engineering, ideally in digital marketing.
• Expertise in GCP tools for scalable data architecture.

Responsibilities

• Design and implement a future-proof data architecture within GCP.
• Develop a consistent data model for cross-channel marketing analytics.
• Design and manage ETL pipelines using GCP tools.

Skills

Data Architecture

Data Engineering

Data Integration

ETL

Data Quality

GDPR

Education

Bachelor's degree in Computer Science

Google Cloud certifications

Tools

Google Cloud Platform

BigQuery

Dataflow

Cloud Composer

GA4

Job description

Digital Marketing Data Architect (12 months)

Digital Marketing Data Architect (12 months)

3 weeks ago Be among the first 25 applicants

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.

Requirements

• Experience: Minimum 5 years in data architecture or engineering, ideally in digital marketing data environments with complex, multi-channel data sources
• Technical Proficiency:
  
  

○ Expertise in GCP tools (BigQuery, Cloud Storage, Dataflow, and Cloud Composer) for scalable data architecture.

○ Strong knowledge of ETL processes and data pipeline optimisation.

○ Experience in unified data modelling for cross-channel marketing analytics.

○ Familiarity with Google Analytics 4, CRM data sources, and major marketing platforms (e.g., Facebook, LinkedIn, Salesforce) and integrating these within GCP.

• Compliance and Governance
  
  

○ Strong understanding of GDPR and data security best practices.

• Education and Certification:
  
  

○ Bachelor's degree in Computer Science, Information Systems, Marketing Analytics, or a related field (or equivalent experience). Google Cloud certifications (e.g., Professional Data Engineer, Professional Cloud Architect) are desirable but not

essential.

Benefits

• Competitive salary and bonus scheme
• Hybrid working
• Rentokil Initial Reward Scheme
• 23 days holiday, plus 8 bank holidays
• Employee Assistance Programme
• Death in service benefit
• Healthcare
• Free parking
  
  

At Rentokil Initial, our customers and colleagues represent diverse backgrounds and experiences. We take pride in being an equal opportunity employer, actively encouraging applications from individuals from all walks of life. Our belief is that everyone irrespective of age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs, has the potential to thrive and contribute.

We embrace the differences that make each of our colleagues unique, fostering an inclusive environment where everyone can be their authentic selves and feel a sense of belonging. To ensure that your journey with us is accessible if you have any individual requirements we invite you to communicate any specific needs or preferences you may have during any stage of the recruitment process. Our team is available to support you; feel free to reach out to ([e-mail]) if you need anything

Be Yourself in Your Application! At Rentokil Initial, we value innovation, but we want to see the real you! While AI can help with structure and grammar, make sure your application shows your true passion and understanding of the role. A personal touch will help you stand out

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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