Reward
Technical Data Architect
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About Reward
Reward, part of the Rezolve Ai Group, is transforming the way people, banks, brands and retailers connect through everyday commerce.
Operating across 15+ markets throughout the UK, Europe, the Middle East and Asia, Reward sits at the intersection of banking and commerce, connecting financial institutions and retailers through technology, transaction intelligence and digital engagement.
Our platform helps banks deliver more relevant and rewarding experiences to millions of customers, while enabling brands and retailers to reach valuable audiences, drive measurable sales and build lasting loyalty.
Since our beginnings, we’ve had a simple mission: to make everyday spending more rewarding. To date, we’ve returned billions in cashback to consumers and continue to innovate how people engage with brands through their everyday spending.
In 2026, Reward became part of Rezolve Ai, a global AI-powered commerce and payments technology company. Together, we’re combining Reward’s transaction intelligence, customer engagement capabilities and commerce network with Rezolve Ai’s technology to create smarter, more personalised journeys from discovery and engagement through to transaction and loyalty.
This is an exciting time to join Reward. We’re an established, growing business with the technology, partnerships and expertise to make a real impact, combined with the ambition and opportunity that comes from being part of a global AI commerce organisation.
Our people are at the heart of that journey. We’re proud to be Great Place to Work® certified and recognised among the UK’s Best Workplaces™ Top 50 for 2026, reflecting a culture built around trust, inclusion, collaboration and putting people first.
We’re shaping the next generation of commerce and customer engagement - and we’re looking for people who want to help us build it.
Role Summary
We are seeking a highly skilled Technical Data Architect to design and implement scalable, secure, and future proof data architectures that support advanced analytics, business intelligence, and enterprise data needs. This role is central to defining data models, integration patterns, and governance frameworks across cloud and hybrid environments. You will collaborate closely with engineering, analytics, and business teams to translate strategic objectives into robust technical solutions.
You will join a dynamic, resourceful team supporting both banking and retail clients as they navigate complex transformational goals.
Responsibilities
Architectural Design
- Develop enterprise wide data architecture strategies aligned with business and technical objectives.
- Define and maintain conceptual, logical, and physical data models across multiple domains.
- Create data flow diagrams, integration patterns, and canonical models to support consistent, scalable data delivery.
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Platforms & Technology
- Design, build, and optimise data platforms leveraging AWS, GCP, and hybrid cloud environments.
- Implement real time and batch processing pipelines using modern data engineering frameworks and tools.
- Evaluate new technologies and recommend solutions that enhance performance, scalability, and cost efficiency.
Data Governance & Security
- Define and enforce data governance standards, including metadata management, data lineage, and data quality.
- Ensure compliance with regulatory and industry frameworks (e.g., GDPR, HIPAA).
- Implement encryption, key management, and security best practices across all data platforms.
Collaboration & Leadership
- Partner with engineering, analytics, product, and business stakeholders to translate requirements into targeted data solutions.
- Provide architectural guidance, technical leadership, and mentorship to data engineering and development teams.
- Support solution design reviews and ensure architectural consistency across initiatives.
Required Experience & Technical Expertise
- Strong expertise in data modeling, database design, and architecting conceptual/logical/physical models.
- Proven experience with SQL and NoSQL databases (PostgreSQL, MySQL, DynamoDB, Bigtable).
- Hands on experience building ETL/ELT pipelines and optimising data transformations.
- Practical knowledge of AWS (Kinesis, S3, Redshift) and GCP (Pub/Sub, BigQuery).
- Experience with streaming technologies such as Kafka, Confluent, and real time processing engines (Spark, Flink).
- Knowledge of data governance tools and frameworks (Collibra, Apache Atlas, GDPR, HIPAA).
- Familiarity with encryption standards and key management solutions (AES-256, TLS, KMS, Vault).
- Strong understanding of performance optimisation techniques including indexing, partitioning, caching, and query tuning.
- Experience working with multi cloud and hybrid cloud environments, including cost optimisation considerations.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
- Relevant certifications desirable (e.g., AWS Certified Data Analytics, Google Professional Data Engineer).
- Strong analytical and problem-solving skills with the ability to design for scale and reliability.
- Excellent communication skills and the ability to articulate complex architectures to both technical and non technical audiences.
- Ability to work collaboratively in cross-functional teams while providing strong technical leadership
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Why Reward
This is an exciting time to join Reward as we continue to grow as part of the Rezolve Ai Group. You'll have the opportunity to work in a fast moving, technology led environment, collaborate with talented people across our international business and make a tangible impact in your role.
You'll have the opportunity to learn, grow and shape how we work, while being part of a culture that values collaboration, inclusion, curiosity and getting things done.
The Benefits
- Annual Leave: 25 days + bank holidays
- Ability to buy and sell holiday days as well as the ability to bank days (tenure dependant)
- Flexible working options: we are operating a hybrid working model with 3 days a week from the office
- Pension: Hargreaves Lansdown – up to 6% matched contribution
- Generous family friendly cover
- Private healthcare - Bupa
- Income protection
- Critical illness cover
- Life insurance cover
- Dental cover
- Optical cover
- Yulife app for access to employee wellbeing and discounts
- Perks at Work, cashback/discount shopping site
- Employee referral scheme
- Salary sacrifice program which includes cycle to work scheme, electric car scheme and season ticket loans
- Company events i.e. Christmas party, all-company event and other social/hosted events during the year (we have an active social committee!)
- Team socials
Equal Opportunities
At Reward, we are committed to creating an inclusive and diverse workplace where everyone is valued, respected and given the opportunity to thrive.
We are an equal opportunities employer and welcome applications from candidates of all backgrounds, experiences and perspectives. Recruitment and employment decisions are based on skills, experience, capability and potential, and we do not discriminate on the basis of any protected characteristic.
We are committed to ensuring our recruitment process is fair, accessible and inclusive. We will consider reasonable adjustments for candidates who require additional support during the recruitment and selection process.
We believe that diversity of thought, background and experience strengthens our teams and helps us build a better Reward.
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Jessica, London
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