About The Role

Join our team as a Senior Analytics Engineer, where you will play a crucial role in developing and optimizing our dbt infrastructure, implementing scalable data models, and ensuring consistent business logic across our organization. You will collaborate with various teams to design reliable datasets, contribute to our AI transformation, and mentor junior team members. This position offers a range of benefits, including health insurance, a flexible vacation policy, and work-from-home opportunities.

Design and maintain transformations that ensure accurate, scalable, and high-quality datasets as the bedrock of our data warehouse.
Serve as the Architect for our dbt project, evolving the architecture, design patterns, and best practices to ensure consistent data definitions and streamlined development.
Provide guidance and code reviews to analysts and analytics engineers, fostering a culture of collaboration and excellence in dbt and data modeling.
AI-Assisted Development: Proficiency in leveraging AI coding assistants (e.g., Cursor, Claude Code) to accelerate dbt development, documentation, and the creation of robust data tests
Experience: 5+ years as an analytics engineer, data engineer, or business intelligence engineer, with 2+ years developing in dbt (ideally within B2B SaaS)
Context Engineering: Experience (or a strong interest) in building "AI-ready" documentation. You understand how to write effective Markdown guides, table descriptions, and metadata that help humans and LLMs navigate our data with high confidence and minimal hallucination
SQL Mastery: Advanced proficiency in SQL and a strong grasp of data modeling
Ownership & Communication: A demonstrated self-starter with the project management skills to lead initiatives and the communication clarity to bridge the gap between technical teams and business stakeholders
Critical Thinking: A naturally inquisitive problem-solver who enjoys deconstructing complex business challenges and finds the most pragmatic path to a solution
Modern Stack Knowledge: Hands-on experience with our core tools (Fivetran, BigQuery, dbt, Github, Airflow, Looker) or their equivalents and modern exploration platforms like Hex

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