Data Engineer

• Design and build scalable, secure, and cost-effective data solutions in Snowflake.
• Develop and optimize data pipelines using tools such as dbt, Python, CloverDX, and cloud-native services.
• Participate in discovery sessions with clients to gather requirements and translate them into solution designs and project plans.
• Collaborate with engagement managers and account teams to help scope work and provide technical input for Statements of Work (SOWs).
• Serve as a Snowflake subject matter expert, guiding best practices in performance tuning, cost optimization, access control, and workload management.
• Lead modernization and migration initiatives to move clients from legacy systems into Snowflake.
• Integrate Snowflake with BI tools, governance platforms, and AI/ML frameworks.
• Contribute to internal accelerators, frameworks, and proofs of concept.
• Mentor junior engineers and support knowledge sharing across the team.

Senior Data Engineer – Snowflake

Data Engineer

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Chief Data Architect