Azure Data Technical Lead
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
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