At a Glance
- Tasks: Design and implement scalable data architectures for advanced analytics and business intelligence.
- Company: Join a dynamic team supporting banking and retail clients in Belfast.
- Benefits: Flexible working, generous holiday options, and employee share schemes.
- Why this job: Make a real impact by shaping data solutions in a collaborative environment.
- Qualifications: Experience in data modelling, SQL/NoSQL databases, and cloud platforms.
- Other info: Enjoy company events and a vibrant social culture.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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 (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, and physical models.
- Proven experience with SQL and NoSQL databases (PostgreSQL, MySQL, DynamoDB, Bigtable) and hands‑on experience building ETL/ELT pipelines with optimisation.
- 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 dependent).
- Flexible working options – hybrid working model with 3 days a week from the office.
- Pension: Hargreaves Lansdown – up to 6 % matched contribution.
- Employee share scheme.
- 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 programme including cycle‑to‑work scheme, electric‑car scheme and season‑ticket loans.
- Company events (Christmas party, all‑company event and other social/hosted events during the year – we have an active social committee!); Team socials.
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Engineering and Advertising
Industries: Advertising Services, Financial Services, and Marketing Services
Technical Data Architect in Belfast employer: Reward
Contact Detail:
Reward Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Data Architect in Belfast
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Technical Data Architect role.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and understanding the latest trends in data architecture. We recommend practising common interview questions and even doing mock interviews with friends or mentors to boost your confidence.
✨Tip Number 3
Showcase your projects! Whether it's a personal project or something from your previous job, having tangible examples of your work can really impress potential employers. We suggest creating a portfolio that highlights your best data architecture designs and solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Technical Data Architect in Belfast
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Technical Data Architect role. Highlight your experience with data modelling, cloud platforms, and any relevant technologies mentioned in the job description. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data architecture and how your background makes you a perfect fit for our team. Don't forget to mention specific projects or achievements that showcase your expertise.
Showcase Your Technical Skills: In your application, be sure to highlight your technical skills, especially with SQL, NoSQL databases, and cloud technologies like AWS and GCP. We love seeing practical examples of how you've implemented these in past roles, so don't hold back!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect directly with us!
How to prepare for a job interview at Reward
✨Know Your Data Models
Make sure you brush up on your data modelling skills. Be ready to discuss conceptual, logical, and physical models in detail. Prepare examples of how you've designed these models in past projects, especially in cloud environments.
✨Showcase Your Tech Stack Knowledge
Familiarise yourself with the specific technologies mentioned in the job description, like AWS, GCP, and various databases. Be prepared to explain how you've used these tools to build scalable data architectures and optimise performance.
✨Understand Data Governance
Since data governance is crucial for this role, ensure you can articulate your experience with standards like GDPR and HIPAA. Discuss any tools you've used for metadata management and data quality, as well as how you've enforced governance in previous roles.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You'll need to collaborate with both technical and non-technical teams, so being able to articulate your ideas clearly will set you apart. Consider doing mock interviews to refine your communication skills.