At a Glance
- Tasks: Design and build scalable data platforms using AWS and modern data engineering tools.
- Company: Fast-growing fintech scale-up with a strong international presence.
- Benefits: Competitive salary, employee share scheme, private healthcare, and 25 days annual leave.
- Other info: Hybrid work model with excellent career growth opportunities.
- Why this job: Join a dynamic team and make a real impact in the fintech industry.
- Qualifications: Strong data modelling skills and hands-on experience with AWS data services.
The predicted salary is between 70000 - 80000 £ per year.
Technical Data Architect Senior Data Architecture role at a fast-growing international fintech scale-up. Hands-on AWS platform work across real-time pipelines, Redshift, Glue and modern data stacks. Belfast, hybrid (2 days in office). Salary £70,000 to £80,000. UK work authorisation required.
About the Company
Our client is a Belfast-based fintech scale-up operating across 15 countries in Europe, the Middle East and Asia, powering award-winning loyalty and commerce media platforms for some of the world's most recognised brands. Their cloud-based platform processes significant transaction volumes and has returned over $1 billion in cashback rewards to consumers worldwide. Recently named among the UK's fastest-growing tech scale-ups, this is a business with genuine momentum and a data platform at its commercial core.
The Role
This is a senior, hands-on Data Architecture position for someone who can design scalable, secure and future-proof data platforms and then roll up their sleeves and build them. You will define data models, integration patterns and governance frameworks across cloud and hybrid environments, working closely with engineering, analytics and business teams to translate strategic objectives into robust technical solutions. The ideal candidate brings deep AWS expertise, strong data engineering instincts and the communication skills to lead architectural thinking across a cross-functional organisation.
Key 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.
- Design, build and optimise data platforms leveraging AWS and hybrid cloud environments, including Redshift, Glue, EMR and S3.
- Implement real-time and batch processing pipelines using modern data engineering frameworks including Spark, Kafka and dbt.
- Create data flow diagrams, integration patterns and canonical models to support consistent, scalable data delivery.
- Define and enforce data governance standards including metadata management, data lineage and data quality.
- Ensure compliance with regulatory frameworks including GDPR.
- Implement encryption, key management and security best practices across all data platforms.
- Provide architectural guidance, technical leadership and mentorship to data engineering teams.
- Evaluate new technologies and recommend solutions that enhance performance, scalability and cost efficiency.
What You'll Need
Essential:
- Strong expertise in data modelling, database design and architecting conceptual, logical and physical models.
- Hands-on experience building and optimising ETL and ELT pipelines at scale.
- Deep practical knowledge of AWS data services including Redshift, Glue, EMR, Kinesis and S3.
- Experience with modern data engineering tools such as dbt, Spark or Flink.
- Proven experience with SQL and NoSQL databases including PostgreSQL, MySQL and DynamoDB.
- Knowledge of data governance frameworks and tools including metadata management and data lineage.
- Strong understanding of performance optimisation techniques including partitioning, indexing and query tuning.
- Excellent communication skills with the ability to articulate complex architectures to technical and non-technical audiences.
- Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems or a related field.
Desirable:
- Experience with GCP data services including BigQuery and Pub/Sub.
- Experience with streaming technologies such as Kafka or Confluent.
- Familiarity with encryption standards and key management solutions including AES-256, TLS and KMS.
- Relevant cloud certifications such as AWS Certified Data Analytics or Google Professional Data Engineer.
- Experience working in fintech, financial services or high-transaction volume environments.
Why Apply?
- Salary of £70,000 to £80,000.
- Employee share scheme.
- Private healthcare, critical illness cover, life insurance, dental and optical cover.
- 25 days annual leave plus.
Data Architect JBLE1_NI in Belfast employer: Ocho
Join a dynamic and innovative digital consultancy that champions a remote-first work culture, offering exceptional benefits such as a competitive salary, generous annual leave, and a commitment to professional development. With a focus on quality and collaboration, you'll thrive in an environment that values your expertise and provides the autonomy to shape QA processes while working on complex, multi-component systems alongside a talented team in Northern Ireland.
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We think this is how you could land Data Architect JBLE1_NI in Belfast
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We think you need these skills to ace Data Architect JBLE1_NI in Belfast
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
