Founded in 2001, Reward is an industry leader transforming the world of customer engagement and commerce media. Operating in 15 countries across Europe, Middle East and Asia, Reward’s cloud-based API platform integrates content, advertising, and commerce to deliver exceptional experiences for consumers resulting in increased customer engagement, retention, and overall satisfaction.
Reward’s Loyalty-tech platform is behind many award-winning bank loyalty programmes seen today from brands such as Visa, NatWest Group, Barclays, and First Abu Dhabi Bank to name a few. Reward also works with the world’s largest retailers such as McDonald’s, eBay, Deliveroo and Amazon.
Their leading commerce media platform fuses purchase insights with loyalty-tech, offering an unparalleled edge in digital advertising and performance marketing for retailers. Leveraging rich data and insights, the Reward platform provides a comprehensive view of consumer behaviour, empowering retailers to target marketing messages more effectively, resulting in independently verified sales uplift and long‑term customer lifetime value.
Beyond bridging the gap between content and commerce, Reward is a purpose‑driven business. Their mission is to make everyday spending more rewarding. During the last 5 years, Reward has proudly given back more than $1 billion in cashback rewards to consumers worldwide.
Most recently, Reward’s rapid growth was recognised in The Independent’s E2ETech100 list of fastest growing tech scale‑ups in the UK. Reward, in conjunction with partners NatWest Group, was also awarded the Industry Achievement Award 2023 at the prestigious Card and Payments Awards.
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
- 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.
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.
- 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.
- 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
The Benefits
- 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
- Income protection
- Critical illness cover
- Life insurance cover
- Optical cover
- Yulife app for access to employee wellbeing and discounts
- Perks at Work, cashback/discount shopping site
- 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!)
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