Ironclad

1 month ago

Senior Analytics Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Senior Analytics Engineer responsible for designing and optimizing dbt architecture, building scalable data models, and ensuring consistent business logic across analytics, data science, and data engineering teams. You’ll unify metrics across BI tools, mentor analysts, and integrate AI-enabled workflows to accelerate data product delivery in a fast-growing B2B SaaS environment.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Sr. Manager level

Key Responsibilities

•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.

Pay and Benefits

Salary: USD 147,000 - 184,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kRemote WorkEquityAnnual Bonus

Key Requirements

•5+ years as an analytics engineer, data engineer, or business intelligence engineer
•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 data tests
•Experience or interest in building AI-ready documentation and metadata to help humans and LLMs navigate data

Experience:5+ yearsB2B SaaSData analytics

Skills:CommunicationLeadershipProblem-solving

Tech Stack:DbtSQLLookerBigQueryFivetranAirflowGithubClaude CodeHex

Company Brief

Ironclad

Provides a contract lifecycle management platform that automates contract creation, negotiation, approval, and analytics for legal and business teams. Integrates with enterprise systems to streamline contracting workflows and reduce legal bottlenecks.

Industry: LegalTech

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2014

Website LinkedIn

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Ironclad

1 month ago

Senior Analytics Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Sr. Manager level

Key Responsibilities

•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.

Pay and Benefits

Salary: USD 147,000 - 184,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kRemote WorkEquityAnnual Bonus

Key Requirements

•5+ years as an analytics engineer, data engineer, or business intelligence engineer
•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 data tests
•Experience or interest in building AI-ready documentation and metadata to help humans and LLMs navigate data

Experience:5+ yearsB2B SaaSData analytics

Skills:CommunicationLeadershipProblem-solving

Tech Stack:DbtSQLLookerBigQueryFivetranAirflowGithubClaude CodeHex

Company Brief

Ironclad

Industry: LegalTech

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2014

Website LinkedIn