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Data Architect
104627 | Data Architect | Insurance | Randstad
About the client
Our client is a leading advisor in risk management, pension, and health solutions. Their mission is to help clients achieve their goals by taking responsible risk.
What will you do?
- Creating, designing, and developing a comprehensive cloud data warehouse architecture, including master data management.
- Implement data governance frameworks to ensure data quality, security, and compliance with industry standards.
- Provide technical leadership and guidance to data engineers in implementing architectural design.
- Manage stakeholders and collaborate with cross-functional teams to understand business needs and translate them into scalable and efficient data solutions.
- Work closely with multiple stakeholders to identify opportunities for data integration, migration, and optimization.
Your profile
We are looking for someone with a minimum of 3–5 years of experience as a data architect, with a strong focus on cloud-based solutions. Experience in AWS and Databricks platforms and data modeling techniques. Strong communication skills and understanding of data governance principles and best practices.
- Strong communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
- Experience working in a global environment with diverse people and data needs.
- Experience in SQL, Databricks, cloud-native databases, data warehouses, and big data technologies.
- Experience with ETL and ELT processes with Databricks.
- Experience in data modeling and data integration.
What’s in it for you?
You will have a challenging job with opportunities for initiative and success. Challenging projects await you in an international environment. Additionally, we offer a competitive salary along with a robust package of secondary employment benefits. This package is flexible, allowing you to create a comfortable and flexible work environment for yourself.
Apply directly to this job opening
If you’re interested, click on ‘Apply’ and send an updated CV or call Xin Zhang at 06-30286684.
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