Analytics Engineering Lead

New

Skills

AWS BigQuery Data Architecture Etl Gcp Mixpanel Redshift Snowflake Sql

Job Overview

Architect, build, and maintain data models, pipelines, and infrastructure. Own end-to-end analytics engineering; report to the CTO. Collaborate with Engineering, Data Science, and Commercial teams. Engage with clients to provide technical context. Partner with Senior Data Analytics Engineer on client analytics.

Responsibilities
  • Architect, build, and maintain data models, pipelines, and infrastructure
  • Own end-to-end analytics engineering, report to the CTO
  • Collaborate with Engineering, Data Science, and Commercial teams
  • Engage with clients to provide technical context
  • Partner with Senior Data Analytics Engineer on client analytics
Requirements & Qualifications
  • 5+ years in data engineering/analytics in startup or high-growth
  • Proficiency in SQL and dbt for data modeling
  • Experience with Snowflake, BigQuery, and Redshift
  • Strong understanding of data architecture, ETL, and pipelines
  • End-to-end ownership of data products
  • Cloud platforms (AWS, GCP) and analytics tools (Mixpanel, Looker/Tableau/Metabase)

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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