Data Architect
Define and govern the end-to-end data architecture that enables a scalable, secure, and business-aligned data platform — ensuring that data engineering, analytics, ML, and API initiatives are built on a coherent, future-proof foundation.
- Define and own the end-to-end data architecture across lake, warehouse, and real-time streaming layers
- Establish architectural standards, design patterns, and best practices for all data domains
- Lead technology evaluation and selection for the cloud-native data platform stack
- Drive the long-term platform roadmap, including AI/ML readiness and data monetisation capabilities
- Design metadata management, data lineage, and access control frameworks in line with governance requirements
- Embed privacy-by-design, security, and compliance (including GDPR) at the architectural level
- Act as technical authority and design partner for Data Engineers, Data Scientists, and ML Engineers
- Represent data architecture in cross-functional forums, aligning platform decisions with business strategy
- 8+ years of experience in data engineering, platform, or architecture roles
- Deep expertise in designing large-scale cloud-native data platforms (AWS, Azure, or GCP)
- Strong knowledge of SQL, Python, Spark, and modern data stack tooling (e.g. BigQuery Snowflake, Databricks, dbt, Kafka, Delta Lake)
- Proven experience with data modelling (dimensional, Data Vault, lakehouse patterns) and API-first data design
- Ability to communicate architectural decisions clearly to both technical and non-technical stakeholders