Senior Analytics Engineer

IroncladSan Francisco, CA
$147,000 - $184,000Hybrid

About The Position

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. You will 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. In this role, you will play a pivotal part in our AI transformation. You will leverage AI to boost the efficiency of our own data pipelines while architecting "AI-ready" data assets that empower our analytics and business teams to perform advanced, LLM-driven analysis. This role will report into the Sr. Manager of Analytics Engineering.

Requirements

  • 5+ years as an analytics engineer, data engineer, or business intelligence engineer, with 2+ years developing in dbt (ideally within B2B SaaS).
  • Advanced proficiency in SQL and a strong grasp of data modeling.
  • Proficiency in leveraging AI coding assistants (e.g., Cursor, Claude Code) to accelerate dbt development, documentation, and the creation of robust data tests.
  • 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.
  • Hands-on experience with our core tools (Fivetran, BigQuery, dbt, Github, Airflow, Looker) or their equivalents and modern exploration platforms like Hex.
  • A naturally inquisitive problem-solver who enjoys deconstructing complex business challenges and finds the most pragmatic path to a solution.
  • 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.

Responsibilities

  • 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.
  • Standardize metrics across our BI tools to drive seamless self-service analytics in Looker and high-accuracy results in AI-powered exploration tools.
  • Provide guidance and code reviews to analysts and analytics engineers, fostering a culture of collaboration and excellence in dbt and data modeling.
  • Integrate AI-assisted workflows (e.g., Claude Code) into the development lifecycle to accelerate code generation, documentation, and testing.
  • Architect "AI-ready" data by designing enriched metadata and context guides that enable intuitive, natural-language data exploration for business users.
  • Partner with Data Engineering to design ingestion and transformation pipelines that are scalable, efficient, and aligned with business needs.
  • Champion data privacy and quality by upholding governance processes and compliance measures to maintain the highest standards of integrity.

Benefits

  • Equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure)
  • Competitive health and wellness benefits
  • Commitment to career growth and development
  • 100% health coverage for employees (medical, dental, and vision), and 75% coverage for dependents with buy-up plan options available
  • Market-leading leave policies, including gender-neutral parental leave and compassionate leave
  • Family forming support through Maven for you and your partner
  • Paid time off - take the time you need, when you need it
  • Monthly stipends for wellbeing, hybrid work, and (if applicable) cell phone use
  • Mental health support through Modern Health, including therapy, coaching, and digital tools
  • Pre-tax commuter benefits (US Employees)
  • 401(k) plan with Fidelity with employer match (US Employees)
  • Regular team events to connect, recharge, and have fun
  • The opportunity to help build the company you want to work at
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