Data Architect Senior Manager- Insurance Data Architect Senior Manager- Insurance …

Gravitas Recruitment Group
in Hong Kong
Permanent, Full time
Be the first to apply
HKD65000 - HKD75000 per month + with great benefits
Gravitas Recruitment Group
in Hong Kong
Permanent, Full time
Be the first to apply
HKD65000 - HKD75000 per month + with great benefits
-Setting enterprise level strategy, roadmap, and process on cloud data lake architecture (AWS S3, Azure Databricks, etc.) -Work with Data Scientists on designing MLOps deployment flow -Understand business needs, designing and implementing real-time AI applications across markets. -Proficient in AWS S3, Azure Databricks, Kafka, Python, SQL, Data Factory, etc.

This is one of the fastest- growing companies in the dynamic insurance industry. They aim to provide ultra personalized customer experiences driven by technology and big data analysis. In an effort of expanding group wide data capability, they are looking for a talented Data Architect to join the data team. If you are an experienced candidate with Cloud architecture design (AWS/ Azure), Machine Learning models deployment flow (MLOps), and real-time data streaming (Kafka), this is an excellent opportunity for you to join the team and lead various enterprise level data projects.

The Scopes:

-Setting enterprise level strategy, roadmap, and process on cloud data lake architecture (AWS S3, Azure Databricks, etc.)

-Work with Data Scientists on designing MLOps deployment flow

-Understand business needs, designing and implementing real-time AI applications across markets.

-Be the advisor on the latest tech trend that could be implemented for the business

The Candidate:

-Proven relevant experience in cloud data architecture design, with other experiences in MLOps, real time data stream development

-Good communication skills and comfortable with high- level technical discussions

-Proficient in AWS S3, Azure Databricks, Kafka, Python, SQL, Data Factory, etc.

-Languages: English, Cantonese, Mandarin

This position is based in Hong Kong and is only open to candidates in Hong Kong

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