Lead Data Engineer

What You'll Do:

• Design and build Eve’s data warehouse architecture from the ground up including schema design data modeling and pipeline orchestration.
• Develop and maintain reliable ETL/ELT pipelines that integrate data across core business systems (CRM product billing marketing etc.).
• Define and implement core business data models that standardize how Eve measures pipeline conversion revenue customer health and attribution.
• Build a reliable GTM data layer that enables marketing sales CS and finance teams to self-serve key insights without ad hoc analysis.
• Establish data quality governance and monitoring practices to ensure accuracy and reliability across the data stack.
• Create cross-functional intake and prioritization processes for data requests balancing infrastructure work with business needs.
• Partner closely with GTM finance product and engineering teams to understand their workflows and translate them into durable data systems.
• Select and manage Eve’s data stack (warehouse orchestration transformation BI tooling).
• Lay the foundation for product analytics and behavioral event tracking across Eve’s platform.
• Build and scale Eve’s data function over time including hiring team structure and operating processes.

What We're Looking For:

• Proven experience building a data warehouse and core data infrastructure from scratch at a high-growth SaaS or technology company.
• Deep expertise in data engineering including data modeling ETL/ELT pipeline design and warehouse architecture.
• Strong proficiency with SQL and modern data stack tools (e.g. Snowflake/BigQuery/Redshift dbt Airflow/Prefect etc.).
• Experience integrating and modeling data from GTM systems such as CRM marketing automation billing and customer success platforms.
• Demonstrated ability to translate business workflows into durable data models that teams can rely on for decision-making.
• Comfortable operating in early-stage environments with messy incomplete or inconsistent data.
• Strong cross-functional communication skills and ability to work closely with sales marketing CS finance and product teams.
• Experience owning architectural decisions for the data stack including tooling selection and infrastructure design.
• Familiarity with product analytics and event instrumentation across web or application platforms.
• Fluency with AI-assisted development tools such as Cursor Claude Code or GitHub Copilot.
• Entrepreneurial mindset with a desire to build and own a data function from the ground up.

What We Do

Eve Legal is pioneering the future of legal technology by focusing on AI-driven solutions that empower plaintiff-side law firms. With a robust platform designed for efficiency and effectiveness Eve leverages artificial intelligence to streamline case analysis enhance decision-making and optimize client outcomes. Our mission centers on providing attorneys with the tools needed to stay competitive and navigate the legal landscape effectively especially in an era where demands on legal professionals continue to grow. Eve’s commitment to innovation is evident in their focus on speed scalability and reliability. The platform supports legal teams in managing high caseloads with fewer resources reducing the time spent on routine tasks and enhancing the ability to focus on high-impact work. Through deep industry insights and a user-centric approach Eve is setting a new standard in legal tech by combining technical excellence with a nuanced understanding of the plaintiff-side practice needs. With a core belief in elevating legal practices through visionary tools Eve is committed to reshaping the way legal professionals serve their clients improving access to justice and fostering a more efficient legal ecosystem.

Why Work With Us

You’ll join a high-performing team that thrives on collaboration grit and innovation. We value excellence visionary thinking and elevation as we tackle ambitious goals. Enjoy a supportive growth-oriented environment with a robust benefits package where everyone’s contributions are valued and real impact in legal tech is made together.

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