Data Architect

Key competencies

• 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, DevOps, 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.