Bangalore, Karnataka
Job Summary

Role: Data Architect / Principal – IFRS17 Data Platform

Experience: 12–18Years
Location: Data Architect / Principal – IFRS17 Data Platform

Domain: Insurance / Finance / Regulatory Reporting

We are looking for an experienced Data Architect / Principal to lead the design and modernization of enterprise data platforms supporting IFRS17 regulatory reporting. The role involves assessing the current data landscape, defining the target-state architecture, and driving transformation across ETL pipelines, cloud data platforms, and reporting ecosystems.

The ideal candidate will have strong expertise in Azure data platforms, large-scale ETL frameworks, and financial data processing, with a focus on data quality, governance, lineage, and auditability.

Key Responsibilities
Lead end-to-end data architecture across IFRS17 data flows, including source systems, ETL pipelines, actuarial, finance, and reporting layers
Assess current state (AS-IS) architecture to identify gaps in data quality, reconciliation, governance, and manual interventions
Review and optimize source-to-target data flows, data models, and transformation layers
Design and govern ETL/ELT architecture using Azure Data Factory, Databricks, SSIS, Synapse, and SQL platforms
Define data models and layered architecture (Landing, Staging, Foundation, Reporting / Lakehouse Bronze-Silver-Gold)
Design and implement Azure-based data platform architecture (ADLS, Synapse, Databricks, SQL serving layers)
Establish robust data quality frameworks ensuring completeness, accuracy, timeliness, and reconciliation with actuarial and finance outputs




Implement end-to-end data lineage and traceability to support audit, compliance, and IFRS17 reporting requirements
Define target-state (TO-BE) architecture aligned with scalable, cloud-first, and modern data platform principles
Drive data modernization initiatives, including migration from legacy SSIS pipelines to Databricks/Lakehouse architecture
Improve automation and efficiency by reducing manual interventions through standardized ETL frameworks
Establish data governance standards including controls, metadata management, security, naming conventions, and best practices
Collaborate with business and technology stakeholders (finance, actuarial, engineering) and provide technical leadership for delivery and solutioning
Skill Requirements

Required Skills & Experience

Technical Skills

Solid expertise in Azure Data Platform (ADF, ADLS, Synapse, Databricks)
Deep understanding of ETL/ELT frameworks and data pipeline design
Experience in data modelling, SQL optimization, and performance tuning
Knowledge of Lakehouse architecture (Delta Lake, Bronze/Silver/Gold layers)
Familiarity with data governance, lineage, and data quality frameworks
Experience in Insurance / Finance domain (IFRS17 preferred)
Understanding of regulatory reporting, actuarial data flows, and financial data processing
Experience working on large-scale data transformation or modernization programs

#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-

📌 Senior Technical Architect (India)
🏢 HCLTech
📍 India