Senior Data Engineer

📋 Description

• Design, build, and maintain scalable data pipelines supporting batch, real-time streaming, and
• Serve as the core developer for our Snowflake data platform, ensuring optimal performance
• Architect and build transform pipelines that deliver high-quality data inputs to Snowflake and dbt
• Establish robust reference architectures, standard templates, and CI/CD best practices to enable
• Provide direct management and career mentorship to one data engineer; act as a guide for
• Drive the adoption of dbt for data transformation and explore the integration of AWS and Azure

🎯 Requirements

• 5–7 years of dedicated data engineering experience
• Advanced, hands-on experience with Snowflake architecture, performance tuning, and data sharing
• Proven experience moving data across hybrid environments (on-prem to cloud) utilizing batch
• Experience building or maintaining semantic layers (e.g., dbt Semantic Layer, Snowflake
• Strong Python skills, particularly in cloud environments (e.g., Azure Functions) and strong SQL
• Exposure to dbt is highly preferred; experience with Azure data tools (Azure Data Factory) is a

🎁 Benefits

• Work with leading financial institutions and other clients to help them adopt AI in meaningful ways
• Work directly with clients, engineers, and AI specialists to turn emerging technology into
• Opportunity to teach, facilitate, influence, and help people embrace new ways of working