Strong enterprise data architecture capability with experience defining target-state architectures, modernization roadmaps, and scalable data platform strategies.
Deep understanding of cloud-native data ecosystems, distributed processing frameworks, data lakes, medallion architecture, Apache Airflow, Databricks Workflows, and modern data engineering practices.
Strong expertise in data warehousing, dimensional modelling, ETL/ELT frameworks, metadata management, lineage, reconciliation, and enterprise data governance.
Proven ability to modernise complex legacy and monolithic data environments into scalable, resilient, and modular architectures.
Strong understanding of financial services, capital markets, regulatory reporting, and compliance-driven data architectures.
Expertise in designing highly available, scalable, secure, and performance-optimized enterprise data platforms.