Technical Data Architect

This is a senior, highly visible role designing scalable, secure and future proof data architectures that support advanced analytics, business intelligence and enterprise wide data needs. Reporting to the Director of Data Engineering, 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. You will join a dynamic, resourceful team supporting both banking and retail clients as they navigate complex transformation programmes., * 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, GCP and hybrid cloud environments
• Implement real time and batch processing pipelines using modern data engineering frameworks
• Define and enforce data governance standards, including metadata management, data lineage and data quality
• Ensure compliance with regulatory frameworks such as GDPR and HIPAA
• Implement encryption, key management and security best practice across all data platforms
• Partner with engineering, analytics and business stakeholders to translate requirements into technical solutions
• Provide architectural guidance, technical leadership and mentorship to data engineering teams
• Evaluate new technologies and recommend solutions that improve performance, scalability and cost efficiency

• Strong expertise in data modelling, database design and architecting conceptual, logical and physical models
• Proven experience with SQL and NoSQL databases such as PostgreSQL, MySQL, DynamoDB and Bigtable
• Hands on experience building ETL/ELT pipelines and optimising data transformations
• Practical knowledge of AWS services such as Kinesis, S3 and Redshift, and GCP services such as Pub/Sub and BigQuery
• Experience with streaming technologies such as Kafka and real time processing engines such as Spark or Flink
• Strong understanding of performance optimisation, including indexing, partitioning, caching and query tuning
• Experience working across multi cloud and hybrid cloud environments, including cost optimisation

Desirable / Nice to Have:

• Relevant certifications such as AWS Certified Data Analytics or Google Professional Data Engineer
• Knowledge of data governance tools such as Collibra or Apache Atlas
• Familiarity with encryption standards and key management, such as AES256, TLS, KMS or Vault

• Competitive salary and a strong benefits package
• Shape enterprise wide data architecture across AWS, GCP and hybrid cloud environments
• Join a fast growing loyalty and commerce media platform trusted by major banks and retailers worldwide
• Genuine influence over data strategy, governance and platform design, reporting to the Director of Data Engineering, * Competitive salary and a strong benefits package
• Hybrid working, two days per week in the Belfast office
• 25 days annual leave plus bank holidays, with the option to buy, sell or bank days
• Employee share scheme
• Private healthcare, dental and optical cover
• Critical illness and life insurance cover
• Genuine influence over enterprise data architecture within a fast growing, purpose driven business
• Strong culture with regular company and team social events

Our client is a fast growing, purpose driven technology business operating across multiple countries in Europe, the Middle East and Asia. Their cloud based platform integrates content, advertising and commerce to deliver loyalty and commerce media solutions for some of the world’s most recognised banks and retailers. Independently recognised as one of the fastest growing technology scale ups in the UK, the business has returned significant value to consumers worldwide through its rewards platform, and continues to invest heavily in its data and engineering capability.