Manager - Data Architect

Responsibilities:

• Lead the architectural design and implementation of a cloud-based data hub using Azure Data Lake, Azure Synapse Analytics, and Microsoft Fabric.
• Collaborate with internal stakeholders and external vendors to ensure the architecture aligns with business requirements, focusing on data governance, security, and performance.
• Define the data ingestion and transformation pipelines, leveraging Azure Data Factory, Dataflows, and other relevant Azure services for ETL processes.
• Create and optimize the data storage architecture, following best practices like Bronze, Silver, and Gold Zones for data processing and transformation.
• Design and implement data models that meet reporting and analytics requirements, including star schemas and dimensional models.
• Ensure the architecture supports real-time analytics, advanced reporting in Power BI, and adheres to role-based security standards.
• Develop and manage the data governance framework, ensuring compliance with regulations such as GDPR and Digital Product Passport and implementing robust data security controls.
• Work with Power BI or other visualization tools to design and deliver interactive dashboards, ensuring performance and scalability.
• Support ongoing platform improvements, addressing pain points like query performance, data consistency, and data integration as highlighted in vendor proposals .
• Collaborate on the UAT, deployment, and production phases of the project, ensuring a smooth transition from development to live environments.
• Provide technical leadership and mentor other team members to enhance their capabilities in data architecture and BI technologies.

Requirements:

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• 7+ years of experience in data architecture, data warehousing, or related roles.
• Strong expertise in Azure Cloud Services (Data Lake, Synapse, Data Factory, etc.).
• Proven experience designing and implementing BI solutions using Power BI.
• Proficiency in data modeling techniques, including ETL processes, data governance, and data security practices.
• Experience working with external vendors and managing cross-functional teams.
• Knowledge of data governance frameworks (e.g., Azure Purview) and security best practices (encryption, access control).
• Excellent communication and problem-solving skills.
• Good command of spoken and written English and Chinese (including Mandarin)

We offer:

Double pay, Performance bonus, Medical insurance, Life insurance, Flexible Working Hours