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Raya

Analytics Engineer Lead

Posted 7 Days Ago
Be an Early Applicant
Remote
Senior level
Remote
Senior level
Lead the analytics engineering team, manage data infrastructure, collaborate with various teams, build models, and establish best practices.
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We’re seeking a hands-on Analytics Engineering Lead to head our data infrastructure and modeling efforts. In this role you will manage a small team while also contributing directly as an individual contributor. You’ll collaborate closely with our analytics, data science, and ML teams to deliver high-quality, reliable data to the whole company.


We offer comprehensive medical and dental coverage, $50 a day food delivery budget, equity based employment, a great culture, learning opportunities, unlimited vacation, 12 weeks paid parental leave, and we pay all employees $1,000 a year to go somewhere in the world that they’ve never been because of our values of human connection, empathy, and curiosity.

Responsibilities

  • Manage a small team of data engineers
  • Expert knowledge of dbt, including experience building complex transformations, implementing testing frameworks, and optimizing dbt workflows for performance and reliability
  • Act as a hands-on IC Analytics Engineer, building models and pipelines to serve the Data Org’s needs. 
  • Collaborate with Analytics, Data Science, and ML teams to understand needs and priorities. Own the team’s roadmap. 
  • Establish best practices for data modeling, testing, QA, and documentation
  • Evaluate and implement new tools and technologies across the data stack

Requirements

  • 5+ years of experience in data engineering or analytics engineering
  • Experience with BI tools like Looker, Omni, or similar
  • Strong grasp of data warehouse concepts (Snowflake experience is a plus)
  • Track record of working closely with analytics teams and understanding business metrics
  • Excellent communication and leadership skills

Preferred Qualifications

  • Experience managing data/analytics engineering teams
  • Experience supporting ML teams or ML infrastructure
  • Proficiency in Python
  • Familiarity with AWS and cloud platforms
  • Understanding of data governance and compliance

Top Skills

AWS
Dbt
Looker
Omni
Python
Snowflake

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