Norm AI

Compensation

Full Description

About Norm Ai Norm Ai, the leading Legal & Compliance AI company, has a client base with a combined $30 trillion in assets under management. By turning legal code into AI code, Norm enables enterprises to move faster and more comprehensively in their legal and compliance processes with reliability and trust. Norm’s platform combines frontier AI, proprietary legal reasoning systems, and embedded legal and regulatory expertise. We have recently raised more than $140 million, backed by Blackstone, Bain Capital, Vanguard, Citi, New York Life, TIAA, Coatue, Craft Ventures, Henry R. Kravis (KKR co-founder), and Marc Benioff (Salesforce CEO). Norm Ai pioneered Legal Engineering, the process that empowers lawyers to build and supervise domain-specific AI agents with Norm’s proprietary suite of no-code software tools. We hired dozens of lawyers from premier U.S. law firms and trained them as Legal Engineers, who specialize in Large Language Model powered legal workflows. Norm Ai technology is deployed inside many of the largest and most consequential institutions in the world. The company is growing quickly and hiring across all teams. This Role As a Senior Data Engineer at Norm, you will partner closely with our Senior Data Analyst and Director of Data to build the foundational data platform that powers our AI compliance engine and internal analytics capabilities. You will architect, develop, and own the data infrastructure from ingestion to transformation to delivery that enables accurate, compliant, and scalable insights across the company. You will own core data pipelines end-to-end, evolve the data platform as we scale, and ensure data is accurate, fresh, secure, and reliable. This role is highly cross-functional and central to building a modern, trusted data ecosystem across the company. You Will: Build and own end-to-end ETL/ELT and CDC pipelines for both multi-tenant and single-tenant systems, enabling high-quality, analysis-ready data for the Senior Data Analyst and cross-functional partners. Set up, maintain, and evolve data pipelines using orchestration platforms like Airflow. Design, operate, and scale our core data platform as usage grows. Ship and maintain curated gold-layer datasets with reliable tests and monitoring for freshness and accuracy. Ingest and integrate product and third-party data sources to power internal dashboards and platform analytics. Assist in establishing data governance practices that meet enterprise security and regulatory compliance requirements. Skills & Experience - Core 5+ years of experience designing, building, and operating scalable, production-grade ETL/ELT pipelines using frameworks such as Apache Spark or AWS Glue. Strong proficiency in Python or a similar backend programming language. Hands-on experience developing, scheduling, monitoring, and operating DAGs in Airflow or Dagster. Experience running data infrastructure in cloud environments (AWS, GCP) that support data pipelines and analytics workloads. Deep understanding of data modeling and the modern data stack, including data warehouses (Snowflake, Redshift), data lakes (Iceberg, Delta Lake), and best practices for schema design and performance tuning. Familiarity with data security, privacy, including handling sensitive enterprise data, PII, and compliance-driven pipelines. Ability to collaborate effectively with Data Analysts and Product & Engineering teams to translate technical challenges into clear, reliable data solutions. Skills & Experience - Pluses Hands-on experience with dbt, including model development, testing, documentation, and CI/CD workflows. Knowledge of infrastructure-as-code (Terraform or similar) for provisioning cloud data environments. Experience working in regulated industries (FinTech, RegTech, Healthcare, Legal), with an understanding of compliance, data governance, and controls needed to safely process sensitive or regulated data. Startup experience working with rapidly evolving requirements, ambiguous problem spaces, and lean teams. What Success Looks Like - 30 Days Data infrastructure onboarding: Rapidly familiarize yourself with Norm AI's data architecture and the compliance domain data flowing through our systems. Initial contributions: Identify and implement quick wins on our data pipelines, whether through performance optimization, data quality enhancements, or better documentation of logic. Wider Team Collaboration: Establish strong collaborative relationships with our data analysts and platform engineering team to better understand data needs across the organization. What Success Looks Like - 60 Days Pipeline Ownership & Stability: Fully own one or more critical data pipelines; ensuring they are reliable, well-monitored and structured for downstream workflows. Data Quality Standards: Demonstrate strong data engineering practices through contributions like implementing data contracts for key datasets, establishing testing frameworks for transformations, or creating reusable patterns that set standards for the growing team. Cross-Functional Enablement: Collaborate closely with teams such as engineering and product to translate the team’s rapidly growing needs into robust, scalable data workflows; creating documentation and best practices that improve clarity, maintainability, and data quality. Comp and Benefits Senior Data Engineer: $200K–$225K a year plus equity. Staff Data Engineer: $240K–$270K a year plus equity. The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with an employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant. We embrace a hybrid model, typically in-office 3-4 days per week. To learn more about Norm Ai, visit our website.