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We’re starting up a brand-new Analytics Platform team to drive the data strategy across our global business. We're looking for a dbt wizard to help build scalable data foundations. The team will... Build a platform of consolidated analytics tools which enables data teams to quickly turn data into insights through dashboards, notebooks, and AI agents; Make metrics discoverable, trustworthy, and usable to data consumers; Embed excellent data modelling practices to make data assets efficient, reusable & globally consistent
Job Responsibility:
Build, document and consult on: Analytics for business domains using dbt & modern BI tools such as Lightdash
Strategies to model & govern a Data Mesh – improving discoverability, consistency, performance, and performance
Comprehensive testing frameworks to ensure data quality, using tools like dbt_expectations and Elementary
Robust CI/CD pipelines for testing and deployment of AE and BI models
Monitoring and alerting tools for insights on AE performance
Work hands-on with ~20 teams, guiding them to adopt tools & data modelling approaches at scale (1000s of models!)
Requirements:
Deep expertise with dbt Core
Advanced SQL, Jinja and Git
Data Modelling Techniques e.g. Kimball, OBT
Experience with a cloud warehouse provider e.g. Databricks, Snowflake, BigQuery
A record of working with multiple stakeholders across domains
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