Back
Mid-level Snowflake consultant in metro locations with common data engineering skills increases candidate competition.
Core data engineering skills transfer across industries but life-sciences domain preference raises sensitivity.
Explicit 5–7 years plus 4+ years Snowflake and specific toolset requirements increase filter strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead end-to-end design and implementation of Snowflake-based data management solutions tailored to client needs.
Own technical delivery across data ingestion, transformation, warehousing, and reporting with strong focus on performance and scalability.
Drive technical leadership including design reviews, troubleshooting complex issues, mentoring junior staff, and managing client communications.
Bachelor’s or Master’s degree in Computer Science, Engineering, IT, or related field.
5–7 years of experience in data engineering, data warehousing, data management, or consulting.
4+ years of hands-on experience with Snowflake including Streams, Tasks, Snowpipe, and query optimization.
Strong SQL and Python skills with experience in ETL/ELT and orchestration tools; willingness to overlap US working hours.
Expert in Snowflake architecture and optimization at scale with proven technical decision-making around cost and maintainability.
Experience leading technical workstreams in consulting or client-facing roles, capable of managing stakeholders effectively.
Domain experience in life sciences or pharmaceuticals with familiarity in commercial data, MDM, Data Quality, or Data Governance preferred.