Description:

Own the delivery of AI-automated data platform migration projects.
High-ownership, customer-facing role at the intersection of data engineering, AI, and project leadership.

Requirements:

3–6 years in data consulting, professional services, or customer-facing data engineering role.
Excellent communication skills for both executive and technical discussions.
Strong grasp of modern data stack: dbt, Snowflake, Databricks, orchestration tools.
Extreme ownership mentality with problem-solving skills.
AI power user with a commitment to continuous learning.
Exposure to legacy data stack and migration projects is a plus.