Data Engineer

• Design and build scalable, secure, and cost-effective data architectures in Snowflake, aligned with industry and client best practices
• Implement data pipelines using ETL/ELT tools such as dbt, Python, CloverDX, and cloud-native services
• Conduct technical discovery sessions to understand client goals and translate them into architectural designs and project plans
• Collaborate with pre-sales and account teams to scope work, define solutions, and estimate effort for Statements of Work (SOWs)
• Serve as a Snowflake SME, providing guidance on performance tuning, cost optimization, access control, data sharing, and workload management
• Lead and execute data platform modernization and migration initiatives, moving clients from legacy systems to Snowflake-based solutions
• Integrate Snowflake environments with BI tools, data governance platforms, and AI/ML frameworks
• Contribute to internal IP, including templates, frameworks, accelerators, and proofs of concept (POCs)
• Support delivery engagements by implementing scalable solutions and continuously improving architectures based on business needs
• Mentor junior team members and contribute to ongoing knowledge sharing across the engineering team
• Hybrid pre-sales and delivery, client-facing consultative role

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