Job Description Insight Global is seeking a Lead Data Developer (Azure Specialist) to lead cloud-based data initiatives and deliver robust solutions for enterprise-scale projects for one of Canada's largest banks. This role focuses on Azure technologies and data engineering, ensuring optimal performance and scalability. Azure Expertise: Design and implement solutions using Azure Data Factory, Data Pipelines, Databricks, and Azure Synapse. Data Engineering: Develop and optimize data processing workflows and analytics strategies. Cloud Strategy: Drive adoption of cloud-based solutions and ensure alignment with business objectives. Performance Monitoring: Track and analyze operating environments, implementing corrective actions as needed. Collaboration: Partner with business and technology teams to deliver high-quality solutions. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 5+ years of hands-on experience with Azure Cloud technologies, including Data Factory, Databricks, and Synapse. Strong SQL development skills and experience with data pipelines. Familiarity with SSO & MFA configurations. Bachelor’s degree in Computer Science or related discipline. Integration and networking experience is an asset.