Solid experience in data architecture, data engineering or a closely related role
Proven technical expertise in data modelling methodologies (Kimball/Lnmon), Data Vault 2.0
Experience of designing enterprise-grade cloud platforms (AWS preferred) (Redshift, S3, Glue, Lake Formation, Athena) Databricks and snowflake are an advantage
Expertise in data warehousing and lakehouse technologies (e.g., Delta Lake, Apache Iceberg)
Strong understanding of ETL/ELT, CDC, event streaming technologies (e.g., Kafka/Kinesis) and API‑based integrations.
Experience operating enterprise data governance programmes, including data stewardship, policy frameworks and data quality management
Knowledge of MDM principles and familiarity with GDPR / CCPA
Familiarity with analytics platforms such as Power BI or Amazon QuickSight and exposure to Gen AI Platforms
Experience or enterprise architecture frameworks such as TOGAF
Able to communicate complex architectural concepts clearly and influence diverse technical and non‑technical stakeholders.