Azure Data Technical Lead

Location Singapore
Discipline Information & Communications Technology
Job Reference BBBH150845_1751019503
Salary Negotiable
Consultant Name Sravanthi Gurram
Consultant Email [email protected]
Consultant Contact No. 6232 8818
EA License No. 02C3423
Consultant Registration No. R2197596


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!

Gurram Sravanthi EA License No.: 02C3423 Personnel Registration No.: R2197596

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