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Mid-level role in a metro with specialized Snowflake skills reduces applicant density.
Snowflake and cloud skills transfer across industries, but pharma compliance raises domain specificity.
Multiple mandatory filters: 5+ years, 3+ Snowflake, cloud, pharma compliance make screening strict.
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Design, implement, and optimize Snowflake data environments ensuring scalability, security, and cost-effectiveness.
Lead end-to-end Snowflake data ecosystem build including ingestion, pipelines, transformation, governance, and cataloging, integrating third-party tools and cloud services.
Manage project leadership including progress monitoring, risk management, client engagement, financial oversight, and mentoring junior team members.
Engineering or master’s degree in Computer Science or related field from Tier-I/Tier-II institution, with strong academic performance.
Minimum 5 years experience in data engineering/architecture roles with at least 3 years hands-on Snowflake experience.
Expert-level SQL, strong Python scripting, and proficiency with ETL/ELT platforms (dbt, Informatica, Talend, Matillion, Fivetran) and orchestration tools (Airflow, Prefect, Dagster).
Familiarity with at least one major cloud platform (AWS, Azure, GCP); strong project and people management skills.
Experienced in highly regulated industries like pharmaceuticals or healthcare, familiar with compliance frameworks such as HIPAA and GxP.
Capable of operating in international matrix environments with direct support during US working hours.
Demonstrates leadership through client relationship management, internal initiatives, and mentorship roles; ideally Snowflake Certified Architect or equivalent.