Platform Architect
dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First.
Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First.
dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro.
Retail Media is transforming how advertisers connect with consumers through personalized and targeted campaigns across retailers' digital and physical touchpoints. Retail Media Measurement plays a pivotal role in ensuring the effectiveness of these campaigns, driving value for advertisers, retailers, and consumers alike.
This role focuses on designing, building, and scaling solutions that enable the accurate measurement of retail media campaigns across various channels. By providing actionable insights, it empowers stakeholders to optimize media investments, improve ROI, and enhance the overall customer experience.
We are seeking an experienced Platform Architect with Retail Media experience to join our innovative team and help shape the future of our advanced data platform. Our platform specializes in high-volume, real-time data streaming and processing, requiring expertise in designing scalable, resilient, and real-time solutions. The ideal candidate will have a proven track record in architecting large-scale, distributed systems using microservices architecture and domain-driven design principles on cloud. You will play a crucial role in developing robust, fault-tolerant architectures that can handle massive data streams, ensure low-latency processing, and deliver actionable insights in real-time.
Key Responsibilities
- Design and architect scalable, high-performance streaming applications capable of processing massive data volumes
- Lead the development of microservices-based systems, ensuring loose coupling and high cohesion
- Implement domain-driven design principles to create modular and maintainable software architectures
- Design robust and efficient APIs that power our web and backend services
- Architect data pipelines using tools like Dataflow/Apache Beam/Spark and BigQuery for real-time and batch processing
- Develop comprehensive database designs that support our complex data models and high-throughput requirements
- Create service designs that optimize for scalability, reliability, and performance
- Collaborate with cross-functional teams to define and implement technical strategies that align with business goals
- Mentor and guide development teams in best practices for scalable and resilient system design
- Continuously evaluate and recommend new technologies and frameworks to improve our technology stack
Required Skills and Qualifications
- Experience in retail media or advertising technology industry
- 10+ years of experience in software architecture and development in the domain of Retail Media and online advertising
- Extensive experience with microservices architecture and domain-driven design
- Strong background in designing and implementing scalable, distributed systems on cloud platforms, preferably GCP
- Expertise in API-first design approach
- Extensive experience in designing cloud-native applications, capable of balancing requirements between managed services and self-managed.
- In-depth knowledge of database design, including both relational and NoSQL solutions
- Experience with streaming technologies and data processing tools like Apache Beam and Dataflow
- Strong understanding of data structures, algorithms, and system design patterns
- Excellent problem-solving and analytical skills
- Proven ability to lead and mentor technical teams
Preferred Qualifications
- Experience with BigQuery for large-scale data analytics
- Familiarity with Kubernetes and container orchestration
- Knowledge of event-driven architectures and pub/sub systems
- Experience with real-time data processing and analytics using Dataflow
- Understanding of machine learning concepts and MLOps practices
- Proficiency in multiple programming languages (e.g., Java, Python, Go)
If you're passionate about building robust, scalable systems and thrive in a fast-paced environment working on cutting-edge technologies, we invite you to join our innovative team shaping the future of retail media!
What you can expect from us
We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.
You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.
And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. For an informal and confidential chat please contact stephanie.winson@dunnhumby.com to discuss how we can meet your needs.
Our approach to Flexible Working
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)
Apply for this job
*
indicates a required field