全职 Data Architect - Fabric 工作, 薪水, Systems Limited - APAC Federal Territory 公司招聘中 - Ricebowl

The Data Architect is responsible for designing and leading enterprise-scale cloud data platforms using Microsoft Fabric and Azure Data Services. The role focuses on defining end-to-end architecture, developing scalable data models, building modern data engineering and real-time streaming solutions, and enabling advanced analytics across the organization.

Responsibilities

• Lead the end-to-end architecture, design, and implementation of enterprise data platforms using Microsoft Fabric.
• Design scalable, secure, and high-performance cloud data architectures aligned with business and technology strategies.
• Develop and maintain conceptual, logical, and physical data models to support enterprise reporting and analytics.
• Architect modern data engineering solutions utilizing Microsoft Fabric components including OneLake, Data Factory, Data Warehouse, Lakehouse, Spark, and Real-Time Intelligence.
• Design, optimize, and govern data ingestion, transformation, integration, orchestration, and ELT/ETL pipelines.
• Design and implement real-time and streaming data architectures using Eventstreams, KQL Databases, Spark Structured Streaming, and other Microsoft Fabric streaming capabilities.
• Define enterprise architecture standards, reusable frameworks, reference architectures, and implementation best practices.
• Collaborate with business stakeholders, solution architects, product owners, and engineering teams to translate business requirements into scalable technical solutions.
• Ensure data platform performance, scalability, reliability, security, governance, and cost optimization across cloud environments.
• Conduct architecture reviews, provide technical leadership, and mentor data engineers and technical teams.
• Establish data governance, metadata management, data quality, and security best practices aligned with organizational policies.
• Evaluate emerging Microsoft Fabric and Azure technologies and recommend continuous improvements to the enterprise data platform.

Requirements

• Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, Data Engineering, or a related discipline.
• 10+ years of experience in Data Architecture, Cloud Data Platforms, Data Engineering, and Enterprise Analytics solutions.
• Extensive hands-on experience with Microsoft Fabric, including OneLake, Data Factory, Lakehouse, Data Warehouse, Spark Notebooks, Real-Time Intelligence, Eventstreams, and KQL Databases.
• Strong expertise in designing enterprise-scale cloud architectures using Azure Data Services.
• Proven experience in enterprise data modeling, including conceptual, logical, and physical data models.
• Strong experience designing ETL/ELT pipelines, data integration, orchestration, and workflow automation.
• Experience building real-time and streaming data platforms using Spark Structured Streaming, Eventstreams, Kafka, or similar technologies.
• Advanced SQL and strong programming experience in Python and/or PySpark.
• Experience with Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure Event Hubs, Azure Functions, Azure DevOps, and Microsoft Entra ID.
• Strong understanding of cloud architecture principles, distributed computing, data security, governance, and performance optimization.
• Experience implementing CI/CD pipelines, Infrastructure as Code, and DevOps practices for data platforms.
• Knowledge of enterprise data governance, data quality, metadata management, and regulatory compliance.
• Strong stakeholder management, communication, leadership, and mentoring skills.
• Microsoft Fabric, Azure Data Engineer, Azure Solutions Architect, or related Microsoft certifications are highly preferred.