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We are looking for a highly independent Lead Analytics Engineer to own and evolve our enterprise BI data layer, built on Snowflake and DBT. This role goes beyond implementation - you will be responsible for data modeling decisions, pipeline design, validation, and system reliability across a complex and evolving data ecosystem. You will work closely with analytics, supply chain, and engineering teams but are expected to drive technical solutions end-to-end, including in ambiguous situations.
Job Responsibility
Data Modeling & Architecture Ownership: Design and maintain scalable data models using Snowflake and DBT.
Data Quality & Validation: Own data correctness end-to-end.
Pipeline Stability & Optimization: Diagnose and resolve pipeline failures and performance issues.
Problem Solving in Ambiguity: Work through incomplete requirements and unclear ownership.
Collaboration & Enablement: Partner with analytics and data teams.
Requirements
5–8+ years in analytics engineering, data engineering, or BI engineering.
Advanced SQL expertise
Strong experience with DBT (models, lineage, transformations)
Hands-on Snowflake experience
Proven ability to own pipelines end-to-end and solve complex data issues independently.
Nice to have
Experience with Data Vault concepts
enterprise BI environments like Power BI
Git-based workflows.
What we offer
medical
dental
vision
work/life resources
retirement savings plans like 401(k)
paid days off such as parental leave and disability coverage.