Job Description

Posted 2 weeks ago

Design and own enterprise-level data architecture including data lakes, warehouses, and lakehouse platforms.

* Define data modelling standards (conceptual, logical, physical; dimensional modelling; canonical models).

* Lead cloud data platform design using Azure/AWS/GCP services, including scalable storage, compute, and integration patterns.

* Set data governance standards covering data quality, metadata, lineage, retention, and regulatory compliance.

* Architect ETL/ELT and streaming pipelines using modern tools (e.g., ADF, Databricks, Kafka, Fabric).

* Ensure security and compliance via IAM, encryption, data zoning, RBAC, and platform best practices.

* Drive performance optimisation across queries, pipelines, compute clusters, and storage structures.

* Partner with business and technology leaders to translate requirements into data architecture blueprints and roadmaps.

* Provide technical leadership to engineers, analysts, and cross-functional teams.

* Establish best practices for data lifecycle management, integration, and platform operations.

* Stay current with emerging technologies and guide platform evolution accordingly