Senior Azure Data Engineer- ADB, ADF, Python, Snowflake/ SQL

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

We are seeking a highly skilled and experienced Technical Delivery Lead to join our team for a Cloud Data Modernization project. The successful candidate will be responsible for managing and leading the migration of an on-premises Enterprise Data Warehouse (SQLServer) to a modern cloud-based data platform utilizing Azure Cloud data tools and Snowflake. This platform will enable offshore (non-US) resources to build and develop Reporting, Analytics, and Data Science solutions.

Primary Responsibilities:

• Manage and lead the migration of the on-premises SQLServer Enterprise Data Warehouse to Azure Cloud and Snowflake
• Design, develop, and implement data platform solutions using Azure Data Factory (ADF), Self-hosted Integration Runtime (SHIR), Logic Apps, Azure Data Lake Storage Gen2 (ADLS Gen2), Blob Storage, Databricks, and Snowflake
• Manage and guide the development of cloud-native ETLs and data pipelines using modern technologies on Azure Cloud, Databricks, and Snowflake
• Implement and oversee DevOps practices and CI/CD pipelines using GitActions
• Collaborate with cross-functional teams to ensure seamless integration and data flow
• Optimize and troubleshoot data pipelines and workflows
• Ensure data security and compliance with industry standards
• Provide technical leadership and mentorship to the engineering team
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

• 8+ years of experience in a Cloud Data Engineering role, with 3+ years in a leadership or technical delivery role
• Hands-on experience with Azure Cloud data tools (ADF, SHIR, Logic Apps, ADLS Gen2, Blob Storage), Databricks, and Snowflake
• Experience with Python or other scripting languages for data processing
• Experience with Agile methodologies and project management tools
• Solid experience in developing cloud-native ETLs and data pipelines using modern technologies on Azure Cloud, Databricks, and Snowflake
• Proficiency in DevOps and CI/CD practices using GitActions
• Proven excellent problem-solving skills and ability to work independently
• Proven solid communication and collaboration skills. Solid analytical skills and attention to detail
• Proven track record of successful project delivery in a cloud environment

• Certification in Azure or Snowflake
• Experience working with automated ETL conversion tools used during cloud migrations (SnowConvert, BladeBridge, etc.)
• Experience with data modeling and database design
• Knowledge of data governance and data quality best practices
• Familiarity with other cloud platforms (e.g., AWS, Google Cloud)