Senior Snowflake Architect designing and managing Snowflake data platform solutions at Zelis. Collaborating with teams & enabling data-driven analytics for healthcare finance transformation.
Responsibilities
Design and implement scalable Snowflake architectures supporting data warehouse, data lake, and data sharing use cases.
Lead Snowflake solution design, including dimensional and analytical data models.
Batch and near real-time ELT/ETL pipelines.
Data integration and Snowflake Data Sharing.
Define and implement governance features such as Snowflake Horizon, masking, and encryption.
Collaborate with data engineers, analytics teams, and product partners to translate business requirements into scalable technical solutions.
Enable advanced analytics use cases in Snowflake, including predictive modeling and anomaly detection using Cortex AI.
Own day-to-day administration of Snowflake environments across development, test, and production.
Monitor and optimize platform performance, availability, and cost usage.
Troubleshoot and resolve Snowflake performance, pipeline, and access issues.
Requirements
8–10+ years of experience in data engineering, data architecture, or data platform roles
4–5+ years of hands-on Snowflake experience spanning architecture and administration
Strong expertise in Snowflake architecture, performance tuning, and cost optimization
Data warehousing concepts and dimensional modeling
Advanced SQL; Python experience preferred
Experience designing and operating ELT/ETL pipelines
Working knowledge of Snowflake security and governance features
Scripting and automation experience (e.g., Bash, Terraform, or similar tools)
Hands-on experience with CI/CD pipelines and GitHub
Experience working with cloud platforms such as AWS and/or Azure
Snowflake SnowPro Core certification preferred
Benefits
401k plan with employer match
Flexible paid time off
Holidays
Parental leaves
Life and disability insurance
Health benefits including medical, dental, vision, and prescription drug coverage
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