Lead Data Solution Architect | Global Insurer - APAC AI & Digital Transformation

Salary: $65,000 – $77,500 per month

About the Role

A leading global organization is transforming technology into a strategic capability that accelerates business value. We’re seeking an experienced Lead Data Solution Architect to drive the end-to-end data architecture roadmap for Global Wealth & Asset Management (GWAM) Asia.

This role is responsible for shaping and delivering the target-state architecture across data ingestion, curation, common data models, data products, and consumption—partnering closely with cross-functional delivery teams and regional/global business and technology stakeholders.

The platform is built on a Databricks Lakehouse and Microsoft Azure, including Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Databricks SQL Warehouse, and Microsoft Fabric/Power BI.

Key Responsibilities

• Own the GWAM Asia data architecture roadmap, aligned to regional priorities and enterprise technology strategy.

• Architect scalable solutions across the full data lifecycle: integration, ingestion, curation, storage, common data models, semantic layers, reporting, analytics, GenAI, and business-facing data products.

• Translate business goals into target-state architectures, including solution options, data requirements, integration patterns, and phased roadmaps.

• Lead design reviews, provide technical sign-off, and guide cross-functional teams.

• Define and standardize technical approaches for data pipelines, lakehouse design, APIs, DevSecOps, observability, security, resilience, and operational support.

• Oversee enterprise data models and design role-based access control (RBAC) aligned with least-privilege principles.

• Ensure solutions meet enterprise expectations for data governance, cybersecurity, risk, audit, and application performance.

• Maintain architecture artifacts and decision records, drive continuous improvement, and lead targeted proofs of concept for emerging technologies.

Required Qualifications

• 10+ years of experience in data architecture, solution architecture, data engineering, or enterprise data platforms, with accountability for complex design decisions.

• Strong experience designing enterprise data lakes, lakehouse platforms, and scalable cloud data solutions.

• Hands-on architecture experience with Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Spark/PySpark, Python, SQL, Databricks SQL Warehouse, and Microsoft Fabric/Power BI, plus practical experience with Azure OpenAI and Azure Kubernetes Service (AKS).

• Experience delivering batch and streaming pipelines, ETL/ELT, APIs, cloud integration, reporting, analytics, and data products.

• Knowledge of GenAI patterns, including prompt engineering, RAG (retrieval-augmented generation), vectorization, and similarity search.

• Experience designing RBAC and implementing least-privilege access across cloud data platforms and data products.

• Experience with DevSecOps, CI/CD, cloud security, data protection, monitoring, and operational resilience.

• Proven ability to lead design discussions, resolve complex issues, and influence senior stakeholders.

• Strong communication, collaboration, prioritization, and adaptability in a fast-changing environment.

Preferred Qualifications

• Experience in financial services, wealth management, insurance, or asset management across Asia markets.

• Knowledge of data governance and supporting practices, including metadata, master/reference data, data quality, lineage, data contracts, and control frameworks.

• Experience with data products, MLOps, event-driven patterns, Change Data Capture (CDC), or containerized architectures.

• Relevant Azure, Databricks, data architecture, GenAI, or Azure AI certifications.