Azure Data Technical Lead

4 weeks ago


Singapore MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD Full time
Roles & Responsibilities

We are looking for a skilled Azure Data Platform Technical Lead to drive the migration of on-premises systems to Azure. This role involves defining the migration methodology, ensuring data requirements and compliance strategies are met, and providing technical guidance to internal teams. You will play a key role in building and optimizing our client's Azure-based data warehouses, Databricks solutions, data pipelines, and Power BI reports.

Key Responsibilities
  • Analyze current practices, processes, and procedures to identify opportunities for leveraging Microsoft Azure Data and Analytics services.
  • Provide technical leadership in areas such as data access, ingestion, integration, processing, modeling, database design, visualization, and advanced analytics.
  • Collaborate with project managers to estimate technical tasks and deliverables.
  • Develop best practices, reusable code, libraries, and frameworks for cloud-based data warehousing and ETL processes.
  • Establish and maintain best practices for cloud-based data warehouse solutions, including naming conventions and development standards.
Job Requirements
  • Education: Bachelor's degree in Information Technology, Computer Science, Management Information Systems, Banking & Finance, or a related field.
  • Experience:At least 10 years in Data Warehousing, Data Analytics, Real-time Data Integration, or Business Intelligence.
  • Minimum 3 years as a Data Architect, Solution Architect, or Technical Lead.
  • At least 2 years of experience leading technical teams in Azure data platform implementation.
  • Technical Skills:Good understanding of both traditional and modern data architectures (SQL, Hadoop, Spark, Kafka, etc.).
  • Expertise in Databricks is mandatory.
  • Hands-on experience with:Azure database platforms: Azure SQL Database, Azure Databricks, Azure Data Lake Gen2.
  • Azure data integration tools: Azure Synapse, Azure Data Factory, Azure Event Hub.
  • Data visualization tools: Power BI, QlikView.
  • Programming skills: Python, R.
  • Ability to design data architecture solutions connecting structured and unstructured data sources.
  • Knowledge of traditional ETL processes is a plus.
  • Experience in financial sector technologies.

If you are passionate about Azure data solutions and enjoy leading high-impact projects, we invite you to apply

EA License Number : 02C3423

EA Personnel Number : R22108699

Tell employers what skills you have

Microsoft Azure
Factory
Modeling
Azure
Pipelines
Architect
Hadoop
Azure Data Factory
ETL
Information Technology
Databricks
SQL
Python
Banking
Technical Leadership
Data Analytics
Power BI
Analysis Services

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