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Urgent! Chubb Life Global Office: Head of Data Engineering & Architecture Job Opening In Hong Kong, Hong Kong – Now Hiring CHUBB

Chubb Life Global Office: Head of Data Engineering & Architecture



Job description

Chubb Life Global is seeking a visionary and technically accomplished leader to serve as the Head of Data Engineering & Architecture.

This critical role will be responsible for designing, governing, and executing enterprise-wide data engineering and architecture strategies that enable robust, scalable, and reliable data solutions across 8 Asian markets.

The successful candidate will lead the design authority, set and enforce data engineering and solution architecture patterns, and develop a robust enterprise data model to maximize business value for the insurance business.

Mastery of the Azure tech stack, Databricks, and Snowflake is essential, as is a strong understanding of the data management lifecycle.

Data Engineering & Solution Architecture

  • Lead the design, development, and implementation of scalable, secure, and high-performance data engineering solutions using Azure, Databricks, and Snowflake.
  • Establish and chair the design authority, setting standards and best practices for data engineering and solution architecture across the enterprise.
  • Oversee the end-to-end solution architecture for all data programs, ensuring alignment with business objectives and technical requirements.
  • Develop and maintain a robust enterprise data model that supports current and future business needs, ensuring data consistency, quality, and interoperability.
  • Drive the adoption of modern data engineering patterns, including data pipelines, ETL/ELT processes, data lakes, and real-time streaming architectures.
  • Enterprise Data Model & Architecture

  • Design and govern the enterprise data model, ensuring it is extensible, reusable, and aligned with industry standards (., ACORD for insurance).
  • Collaborate with business and technical stakeholders to translate business requirements into scalable data architecture solutions.
  • Ensure data models and architecture support advanced analytics, business intelligence, and AI/ML initiatives.
  • Data Management Lifecycle & Governance

  • Ensure all data engineering and architecture initiatives adhere to best practices in data management, including data governance, quality, security, and lifecycle management.
  • Work closely with data governance and data management teams to ensure data assets are catalogued, accessible, and reliable.
  • Advocate for continuous improvement in data engineering processes, tools, and standards.
  • Execution & Delivery

  • Oversee the execution of complex data engineering projects, ensuring timely delivery, quality, and alignment with business impact goals.
  • Provide technical leadership and mentorship to data engineering teams, fostering a culture of innovation, collaboration, and excellence.
  • Monitor and optimize the performance, scalability, and reliability of data solutions.
  • Business Impact & Stakeholder Engagement

  • Partner with business leaders to identify opportunities for leveraging data engineering and architecture to drive business value, operational efficiency, and competitive advantage.
  • Communicate complex technical concepts and architectural decisions to non-technical stakeholders, ensuring alignment and buy-in.
  • Track and report on key performance indicators (KPIs) to demonstrate the business impact of data engineering initiatives.
  • Skills & Qualifications

  • 15+ years of experience in data engineering, solution architecture, or related fields, with a proven track record of delivering complex data programs in large, multinational organizations.
  • Deep expertise in the Azure tech stack, Databricks, and Snowflake, with hands-on experience designing and implementing enterprise-scale data solutions.
  • Strong knowledge of the data management lifecycle, including governance, quality, integration, and security.
  • Demonstrated experience in developing and governing enterprise data models, preferably in the insurance or financial services industry.
  • Exceptional leadership, stakeholder management, and communication skills, with the ability to influence and align diverse teams.
  • Strong analytical and problem-solving skills, with a focus on delivering measurable business impact.
  • Experience with modern data engineering tools, frameworks, and methodologies (., data lakes, ETL/ELT, real-time streaming, CI/CD for data pipelines).
  • Familiarity with industry data standards such as ACORD is a plus.
  • Advanced degree in Computer Science, Engineering, Information Systems, or a related field is preferred.

  • Required Skill Profession

    Computer Occupations



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