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Job Description & How to Apply Below
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.
Strong knowledge of integration patterns including APIs, messaging systems, event-driven architectures, MQ, FIX, gRPC, and file-based integrations.
Ability to define and implement enterprise-wide data quality, observability, auditability, and operational resilience frameworks.
Excellent analytical, problem-solving, and architecture governance skills with the ability to evaluate complex technical and business trade-offs.
Strong stakeholder management and communication capability with experience working across business, operations, risk, compliance, engineering, and leadership teams.
Experience collaborating within agile, Dev Ops, and cross-functional delivery environments.
Strong documentation, presentation, and architecture review skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
Ability to drive self-service analytics, reporting modernization, and scalable data consumption strategies across enterprise platforms.
Strong understanding of operational resilience, disaster recovery, RTO/RPO, SLA/SLO management, and enterprise platform scalability considerations.
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