Senior Analytics Engineer

Summary

Join Ironclad as a Senior Analytics Engineer and play a pivotal role in developing and optimizing our dbt infrastructure. You will design and maintain data transformations, serve as the architect for our dbt project, unify metrics across our data warehouse, and mentor the team. Collaborate with data engineering to manage our stack and champion data privacy. This role requires 5+ years of experience as an analytics engineer and advanced SQL proficiency. Ironclad offers a competitive total rewards package including health, dental, and vision insurance; 401k; wellness reimbursement; a flexible vacation policy; and generous parental leave.

Requirements

• 5+ years of experience as an analytics engineer, data engineer, or business intelligence engineer and 2+ years developing in dbt, ideally at a B2B SaaS company
• Advanced proficiency in SQL
• Previous experience with data modeling, ETL/ELT development principles, and data warehousing concepts
• A naturally inquisitive, critical thinker, who enjoys and is effective at solving problems
• A demonstrated self-starter with strong communication and project management skills

Responsibilities

• Design and maintain data transformations that ensure accurate, scalable, and high-quality datasets
• Serve as the Architect for our dbt project: Own and evolve the project’s architecture, design patterns, and best practices, ensuring consistency in data definitions and streamlined development
• Unify metrics and definitions across our data warehouse and BI tools, driving reliable, self-service analytics for analytics team members and cross-functional stakeholders
• Mentor & Upskill the Team: Provide guidance and code reviews to analysts and analytics engineers, fostering a culture of collaboration, learning, and excellence in dbt and data modeling
• Partner with Data Engineering to Manage Our Stack: Collaborate on the design, ingestion, and transformation pipelines—ensuring they’re scalable, efficient, and aligned with business needs
• Champion Data Privacy & Quality: Implement and uphold governance processes and compliance measures to maintain the highest standards of data integrity

Preferred Qualifications

Familiarity with the tools in our stack (Segment, Fivetran, BigQuery, dbt, Looker, Airflow)

Benefits

• Health, dental, and vision insurance
• 401k
• Wellness reimbursement
• Take what you need vacation policy
• Generous parental leave for both primary and secondary caregivers