Senior Analytics Engineer

March 18

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Ironclad

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Ironclad is a leading company providing AI-powered contract management software that enables businesses to manage contracts across their entire lifecycle with greater efficiency and security. Their platform offers a comprehensive suite of tools designed for legal, sales, finance, HR, marketing, and procurement teams, integrating capabilities such as drafting, editing, negotiation, search, storage, analytics, and e-signature in one cohesive system. Ironclad's advanced AI features assist in legal drafting and research, optimizing the contract creation and management process for enterprises worldwide. They are widely recognized as a leader in the contract lifecycle management industry.

SaaS • Legal • Contract Management • Legal operations • Legal tech

201 - 500 employees

☁️ SaaS

🏢 Enterprise

📋 Description

As a Senior Analytics Engineer, you will be responsible for developing and optimizing our dbt infrastructure, implementing scalable data models, and ensuring consistent business logic across a fast-growing organization. • Partner cross-functionally with analytics, data science, data engineering, and data-savvy business stakeholders to design reliable and consistent datasets that serve as the foundation for understanding our business. • Shape our future data infrastructure in a high-growth environment while working on a diverse set of business-critical data initiatives. • 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.

🎯 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 • Familiarity with the tools in our stack (Segment, Fivetran, BigQuery, dbt, Looker, Airflow) is preferred • A naturally inquisitive, critical thinker, who enjoys and is effective at solving problems • A demonstrated self-starter with strong communication and project management skills

🏖️ Benefits

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