Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement data architecture for loyalty platforms, ensuring smooth integration with various systems.
- Company: Response Informatics is a forward-thinking company focused on enhancing customer loyalty through data-driven solutions.
- Benefits: Enjoy remote work options, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team where your work directly impacts customer experiences and loyalty strategies.
- Qualifications: 8+ years in data architecture or engineering, with expertise in marketing data and cloud platforms.
- Other info: Sponsorship available for the right candidate.
The predicted salary is between 43200 - 72000 £ per year.
Response Informatics is hiring for a Data Architect.
Location: United Kingdom
Responsibilities:
- Data Architecture & Modeling: Design end-to-end data architecture for loyalty platforms, ensuring seamless integration with CRMs, CDPs, DMPs, analytics platforms, and MarTech stacks. Create logical and physical data models to support loyalty use cases—points accrual, redemption, tiering, customer preferences, and behavioral segmentation. Define canonical data models and customer 360 views across systems and touchpoints.
- Integration & Platform Enablement: Collaborate with MarTech teams to ensure loyalty data flows smoothly into platforms like Salesforce, Adobe Experience Platform, Oracle CX, Braze, etc. Define APIs, data pipelines, and ETL/ELT processes to ingest, transform, and activate data from multiple sources (web, mobile, POS, email, app). Ensure architecture supports real-time data flows for triggers, personalization, and loyalty lifecycle messaging.
- Data Governance & Quality: Establish data governance policies, taxonomy standards, and metadata management practices for loyalty-related data. Ensure data integrity, consistency, and compliance with privacy regulations (GDPR, CCPA, etc.). Work closely with data stewards and engineers to enforce quality control and lineage tracking. Partner with loyalty strategists, business analysts, and data scientists to align architecture with program objectives.
- Collaboration & Strategy: Support advanced analytics, ML models, and campaign optimization efforts with clean and structured datasets. Evaluate and recommend technologies that enhance loyalty data capabilities (e.g., CDPs, identity resolution tools, consent management).
Qualifications:
- 8+ years of experience in data architecture, data engineering, or enterprise data platforms, with a focus on marketing or customer data.
- Strong understanding of loyalty program data structures and customer lifecycle management.
- Proficient in data modeling, API architecture, cloud platforms (AWS, GCP, Azure), and relational/NoSQL databases.
- Experience with MarTech integration and customer data platforms (CDPs) such as Adobe Experience Platform, Salesforce Data Cloud, or Segment.
- Hands-on experience with tools like SQL, Python, Spark, Kafka, Airflow, or dbt.
Note: Sponsorship will be provided.
Contact Detail:
Response Informatics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect (England)
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Salesforce, Adobe Experience Platform, and various cloud platforms. Having hands-on experience or even a solid understanding of these tools will give you an edge during discussions.
✨Tip Number 2
Network with professionals in the data architecture field, especially those who have experience with loyalty programs. Engaging in conversations on platforms like LinkedIn can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to discuss real-world examples of how you've designed data architectures or integrated systems in previous roles. Being able to articulate your past experiences clearly will demonstrate your capability and fit for the position.
✨Tip Number 4
Stay updated on the latest trends in data governance and privacy regulations, particularly GDPR and CCPA. Showing that you are knowledgeable about compliance will highlight your commitment to data integrity and quality.
We think you need these skills to ace Data Architect (England)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Data Architect position. Familiarise yourself with key terms like data architecture, APIs, and MarTech integration.
Tailor Your CV: Customise your CV to highlight relevant experience in data architecture, data engineering, and any specific tools mentioned in the job description, such as SQL, Python, or cloud platforms. Use keywords from the job listing to ensure your CV stands out.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data architecture and how your experience aligns with the company's needs. Mention specific projects or achievements that demonstrate your expertise in loyalty programs and data governance.
Proofread Your Application: Before submitting, carefully proofread your application materials for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Architect role.
How to prepare for a job interview at Response Informatics
✨Showcase Your Technical Expertise
Make sure to highlight your experience with data architecture and the specific tools mentioned in the job description, such as SQL, Python, and cloud platforms. Be prepared to discuss your previous projects and how they relate to loyalty programs and customer data management.
✨Demonstrate Your Problem-Solving Skills
Prepare to discuss how you've tackled challenges in data integration and governance in past roles. Use specific examples to illustrate your ability to create effective data models and ensure data quality, which are crucial for the role.
✨Understand the Company’s Needs
Research Response Informatics and their loyalty platforms. Familiarise yourself with their existing systems and how your skills can enhance their data architecture. This will show your genuine interest in the role and your proactive approach.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy, team dynamics, and future projects. This not only demonstrates your enthusiasm but also helps you gauge if the company aligns with your career goals.
