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Senior Analytics Engineer
- New York, New York, United States
- New York, New York, United States
About
What You’ll Do
Data Transformation: Design and maintain transformations that ensure accurate, scalable, and high‑quality datasets as the bedrock of our data warehouse.
dbt Architecture: Serve as the Architect for our dbt project, evolving the architecture, design patterns, and best practices to ensure consistent data definitions and streamlined development.
Metric Unification: Standardize metrics across our BI tools to drive seamless self‑service analytics in Looker and high‑accuracy results in AI‑powered exploration tools.
Team Mentorship: Provide guidance and code reviews to analysts and analytics engineers, fostering a culture of collaboration and excellence in dbt and data modeling.
Workflow Modernization: Integrate AI‑assisted workflows (e.g., Claude Code) into the development lifecycle to accelerate code generation, documentation, and testing.
AI Context Engineering: Architect "AI‑ready" data by designing enriched metadata and context guides that enable intuitive, natural‑language data exploration for business users.
Stack Collaboration: Partner with Data Engineering to design ingestion and transformation pipelines that are scalable, efficient, and aligned with business needs.
Data Governance: Champion data privacy and quality by upholding governance processes and compliance measures to maintain the highest standards of integrity.
What We’re Looking For
Experience: 5+ years as an analytics engineer, data engineer, or business intelligence engineer, with 2+ years developing in dbt (ideally within B2B SaaS).
SQL Mastery: Advanced proficiency in SQL and a strong grasp of 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.
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.
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.
Critical Thinking: A naturally inquisitive problem‑solver who enjoys deconstructing complex business challenges and finds the most pragmatic path to a solution.
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.
Base Salary Range: $147,000 - $184,000
US Full‑Time Employee Benefits at Ironclad
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
And most importantly: the opportunity to help build the company you want to work at
UK Employee‑specific benefits are included on our UK job postings
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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Languages
- English
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