Collaborate with data engineers and solution architects to design and implement data pipelines using Azure Data Factory, Azure Data Lake Storage, and Azure Synapse Analytics.
Validate that solutions meet defined requirements, data standards, and architectural guidelines.
Create and update data flow diagrams to ensure clear visualization of data pipelines and data movement.
Maintain data dictionaries, metadata repositories, and lineage documentation to support data governance and transparency.
Conduct comprehensive requirements gathering and analysis for data focused initiatives, ensuring alignment with business and technical objectives.
Translate business requirements into detailed functional and technical specifications to support scalable data pipeline development.
Develop and maintain standardized documentation, including Business Requirements Documents (BRDs) and source-to-target mapping (STM) documents to support accurate data ingestion and transformation processes.
Requirements
Bachelor’s degree in Computer Science / Information Technology, Financial / Investments, Legal Management degree holder or other relevant post-secondary education preferred.
2 years BA experience with Information Technology, Financial Services or Middle and Back office operations enabling integrated solutions to optimize processes, technology, data etc.
Experience in Agile Methodology is an advantage
Knowledge in Azure Environment is an advantage
Quick to adapt with proven experience learning new products, technologies and tools
Knowledgeable in Data Discovery, requirements gathering, UAT testing and other development documentation.
Ability to identify and pursue continuous improvements
Excellent negotiating skills and an ability to manage inter-departmental work relationships.
Strong influencing skills with ability to make sound recommendations
Previous experience in the financial services, wealth management or insurance industry
Must pass current job expectations and meet performance metrics.