Technical Architect

Roles & Responsibilities:

• Define end-to-end architecture for the IFRS17 data platform with focus on scalability, auditability, and performance
• Lead modernization of legacy SSIS-based ETL systems to Azure Databricks Lakehouse architecture
• Design and implement Lakehouse architecture (Bronze, Silver, Gold layers) for ingestion, transformation, and serving
• Establish data modeling and transformation standards aligned with IFRS17 regulatory requirements
• Define migration strategy including refactoring approaches, sequencing, dependencies, and cutover planning
• Ensure reconciliation, validation, and functional parity between legacy and modern systems
• Design enterprise orchestration flows using Control-M and Azure Data Factory (ADF) integration
• Define retry mechanisms, failure handling, restartability, and operational resilience across pipelines
• Establish monitoring, alerting, dashboards, and runbooks for production stability
• Define coding standards for PySpark, SQL, and reusable data engineering frameworks
• Implement governance frameworks for logging, auditing, and regulatory compliance
• Define CI/CD, environment promotion strategy, and deployment best practices
• Drive non-functional requirements including performance optimization, scalability, cost efficiency, and DR/BCP
• Lead architecture reviews, design sign-offs, and enforce engineering standards
• Collaborate with finance, governance, security, and delivery stakeholders to align technical solutions with business needs
• Mentor technical teams and uplift engineering maturity across the organization