Deep familiarity with the end-to-end LS pipeline-from ingestion through dbt transformation, de-identification, and delivery-including the current Snowflake-based scripts and what will replace them

Ownership of the channel partner data inquiry queue; resolving standard requests independently by leveraging AI agents, closing out in writing and in accordance with SLAs

First contribution to the delivery pipeline codebase: a new or refactored dbt model, a PySpark debugging fix, or a validated QC delivery configuration

Thorough understanding of the monthly delivery cycle: Argo orchestration, Snowflake execution, manifest generation, Datavant/HealthVerity/IQVIA tokenization, and delivery QC

Core delivery endpoint configurations migrated from manual Snowflake runbook to config-as-code; existing channel partners delivered with minimal manual script execution

Contributing increasingly receptive metrics toward a data quality scorecard, tracking pipeline health, completeness, and refresh SLAs across all channel partners

Analytics Engineer, Life Sciences Delivery Operations

Responsibilities

Qualification

Required

Company

Arcadia

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