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As the Manager, Analytics Engineering you will serve as the primary architect for our data innovation bridge, transforming dimensional data models into high-performance semantic layers for AI / BI tools. This is a highly hands-on technical leadership role focused on architecting scalable data systems and ensuring high-fidelity data quality. You will own the logic, code optimization, and technical documentation required to solve key business needs.
Job Responsibility:
Semantic Layer Architecture: Lead the design and implementation of semantic logic and AI pipelines that bridge raw data sources and customer-facing analytics
Code Optimization: Transition legacy logic into clean, optimized SQL structures and dbt-ready environments to ensure a unified "Source of Truth"
Rapid Delivery: Build rapid data prototypes and validated data models to address immediate supply chain challenges
Technical Excellence: Responsible for validating logic functionality and ensuring technical documentation is complete for long-term scalability
Resource Management: Direct the efforts of technical support staff to accelerate engineering delivery
Requirements:
Expert SQL: Mastery of SQL with the ability to write, debug, and optimize complex queries for global data sets
Data Modeling: Proven experience architecting semantic layers and scalable data systems
dbt Knowledge: Experience with dbt or similar data transformation tools is strongly preferred
Modern Data Warehouses: Hands-on experience with cloud data warehouse platforms such as Snowflake, Databricks, BigQuery, Redshift, or equivalent enterprise platforms
Hands-on Leadership: A "player-coach" mentality with a track record of delivering technical solutions in a fast-paced environment
What we offer:
medical, dental, vision, and work/life resources
retirement savings plans like 401(k)
paid days off such as parental leave and disability coverage