Snowflake Consultant

Job Title / Role: Snowflake Consultant Key Skills: Snowflake, Fivetran, Estuary, Data Warehouse Experience: 15+ Location: Boston MA, Shift: General Mode: Hybrid We at Coforge are seeking “Snowflake” with the following skill set: Required qualifications Professional engineering experience: Minimum 10 years of software engineering, systems architecture, or technology consulting experience. Snowflake expertise: Advanced proficiency with Snowflake data platform, including data warehouse design, ETL implementation, and performance optimization. Cloud infrastructure: Demonstrated expertise in Microsoft Azure or equivalent cloud platforms (AWS, Google Cloud) including infrastructure as code, security, and cost optimization. Database design & optimization: Strong background in relational and non-relational database architecture, query optimization, and data modelling. Independent work capability: Ability to work independently, prioritize multiple projects, and deliver results with minimal supervision while maintaining strong communication with stakeholders. Technical leadership: Ability to architect solutions and serve as a technical authority across complex projects. Bachelor's degree: Bachelor’s degree in computer science, Engineering, or related field (or equivalent professional experience). Preferred qualifications Private equity experience: Previous experience in a PE-backed company, with understanding of typical PE operating model optimization and technology implementation. Investran experience: Hands-on experience implementing or optimizing Investran enterprise resource planning systems. Data analytics & BI: Experience with advanced analytics, business intelligence tools, and data visualization platforms (Tableau, Power BI, etc.). Client engagement support: Track record of providing technology consulting to multiple enterprise clients. Key responsibilities Design and deploy scalable cloud-based technology solutions using Snowflake and Microsoft Azure. Provide technology consulting and strategic guidance on digital transformation and data modernization initiatives. Architect and oversee implementation of enterprise data platforms and analytics solutions. Lead technical assessments and identify technology optimization opportunities Manage relationships with technology vendors and third-party implementation partners. Develop technical standards and best practices for data management and cloud infrastructure. Support business case development for technology investments and initiatives.