Senior Data Platform & API Lead

AXA Hong Kong and Macau

Hong Kong

On-site

HKD 1,200,000 - 1,800,000

Full time

14 days+

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Job summary

AXA Hong Kong and Macau is seeking an experienced Senior Data & API Platform Lead to oversee Data Integration, Data Engineering and Data Management solutions across the organization. The role requires ~10 years in data solution design, project delivery, and IT leadership within financial services or insurance.

You will lead design, delivery, and governance of data platforms, build scalable ETL/ELT pipelines on Azure, and drive data analytics capabilities with BI tools, Synapse, and AI/ML

Qualifications

  • Minimum of 10 years of proven experience in Data Management, BI, and IT leadership.
  • Strong hands-on experience with ETL/ELT tooling, Azure Data Factory, Databricks, SQL, and stored procedures.
  • Solid domain knowledge in Insurance is highly preferred.
  • Excellent leadership, communication, and stakeholder management skills.

Responsibilities

  • Lead design, delivery and management of Data and Data related projects and applications.
  • Drive data initiatives with business stakeholders to align with goals.
  • Oversee Data Engineering, Architecture, and Data Analytics efforts across the org.
  • Manage delivery lifecycle including scope, schedule, quality, and cost.
  • Ensure production support and vendor coordination for platforms.

Skills

Data leadership
Azure
SQL
ETL/ELT
Databricks
Azure Data Factory
CI/CD
BI tools

Education

Bachelor's or Master's in IT/CS/Data Science

Tools

Azure Data Factory
Databricks
Azure SQL
Azure DevOps

Job description

AXA Hong Kong and Macau is seeking an experienced Senior Data & API Platform Lead to oversee Data Integration, Data Engineering and Data Management solutions across the organization. The role requires ~10 years in data solution design, project delivery, and IT leadership within financial services or insurance.

You will lead design, delivery, and governance of data platforms, build scalable ETL/ELT pipelines on Azure, and drive data analytics capabilities with BI tools, Synapse, and AI/ML

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