Data Engineer; Senior

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.

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.

• 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 infying data governance practices that meet enterprise security and regulatory compliance requirements.

• 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 experiencekog 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.

• 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. spann>
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• Experience working in regulated industries (Fin Tech, Reg Tech, 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.

• Data infrastructure onboarding:
  Rapidly familiarize yourself with Norm AI’s data architecture and the compliance domain data…