Spellbook
LegalTech
SeniorDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer at Spellbook. Skills: Data infrastructure, Data platform, Scalable data infrastructure, AI/ML-driven product features, AWS, Infrastructure-as-code, Data pipelines, Orchestration systems. Lead the design and development of scalable data infrastructure. Power internal analytics and AI-driven product capabilities”
What You'll Achieve.
Accelerate product and AI development; Deliver actionable market insights; Build reliable, compliant, and extensible systems; Support the next stage of Spellbook’s growth; Ship enhancements in record time
Industry & Context.
Problem-solver motivated by curiosity; Ability to break complex and vague requirements down into clear achievable enhancements
What They're Looking For.
Must Have
5+ years of experience in Infrastructure Engineering or Data Platform Engineering, Exceptional communication skills, Ability to explain and advocate ideas to a diverse audience, Ability to document architectural decisions clearly, Ability to take an ambiguous, high-impact platform requirement from a vague abstract idea, to a working prototype, to a production-ready system deployed to serve internal teams and unblock product delivery, Self-starter and problem-solver motivated by curiosity and a desire to help others succeed, encouraged by continuous improvement, Team player motivated to help Spellbook succeed, Eagerness and ability to help fix things when they break, Ability to think of and implement ways to improve the work of the team as a whole, Firm grasp of cloud infrastructure, distributed systems, and relevant security/compliance considerations, Ability to reason clearly about tradeoffs in cost, reliability, and simplicity, Ability to break complex and vague requirements down into clear achievable enhancements that ship in record time
Nice to Have
Experience with workflow orchestration tools (e.g. Dagster, Airflow, Prefect), Experience working with data warehouses or lakehouses (e.g. Athena, Iceberg, Snowflake), Experience supporting machine learning workflows (e.g. dataset generation, experimentation, model pipelines), Experience designing and implementing deletion and retention systems with auditable processes (SOC2-aligned), Experience integrating product analytics data into a warehouse
What You'll Do.
Lead the design and development of scalable data infrastructure
Power internal analytics and AI-driven product capabilities
Transform large volumes of contract data into actionable market insights
and extensible systems
Accelerate product development
Support the next stage of Spellbook’s growth
Shape the future of Spellbook’s data platform
Operate at the intersection of data engineering
Broad ownership across architecture
and long-term platform evolution
Identify and implement impactful improvements to the company’s data platform
Accelerate product and AI development
architect and implement scalable data infrastructure supporting both analytics and AI/ML-driven product features
Build and maintain compliant
auditable data storage and processing systems in AWS
with infrastructure-as-code
Develop and operate robust data pipelines and orchestration systems
Own the generation of core datasets
ensuring they are reliable
reproducible and easy to evolve
with robust backfill and reprocessing capabilities
Design and implement data retention and deletion workflows that meet legal and compliance requirements
Contribute to architectural decisions and documentation as the platform evolves
How You'll Work.
Team & Collaboration
Work as part of a distributed team; Explain and advocate ideas to a diverse audience; Be a team player motivated to help Spellbook succeed; Help fix things when they break; Think of and implement ways to improve the work of the team as a whole
Communication Scope
Exceptional communication skills; Ability to explain and advocate ideas to a diverse audience; Ability to document architectural decisions clearly
Process & Methodology
Take an ambiguous, high-impact platform requirement from a vague abstract idea, to a working prototype, to a production-ready system, Break complex and vague requirements down into clear achievable enhancements that ship in record time
Full Job Description
Spellbook is the most comprehensive AI copilot for transactional lawyers. It works directly inside Microsoft Word to help legal teams draft, review, and negotiate contracts up to 10x faster and with greater precision. Today, more than 4,000 law firms, in-house teams, and solo practitioners rely on Spellbook to simplify their workflows and eliminate the drudgery of everyday contract work. We are backed by leading investors including Khosla Ventures, Thomson Reuters Ventures, Inovia Capital, The LegalTech Fund, Bling Capital, and Moxxie Ventures. The company recently raised $50 million in Series B funding, led by Keith Rabois at Khosla Ventures, bringing its total funding to more than $80 million. *This is an existing vacancy ABOUT THE ROLE Spellbook is seeking a Senior Data Engineer to join our growing team. In this role, you’ll lead the design and development of scalable data infrastructure that powers both internal analytics and AI-driven product capabilities, helping transform large volumes of contract data into actionable market insights. You’ll build reliable, compliant, and extensible systems that accelerate product development and support the next stage of Spellbook’s growth. As a Senior Data Engineer, you’ll play a key role in shaping the future of Spellbook’s data platform. You’ll operate at the intersection of data engineering, infrastructure, and product strategy, with broad ownership across architecture, execution, and long-term platform evolution. THE TECH STACK - AWS, CDK, Dagster, Athena, Glue, SageMaker, Docker, TypeScript RESPONSIBILITIES - Work as part of a distributed team to identify and implement impactful improvements to the company’s data platform, accelerating product and AI development - Design, architect and implement scalable data infrastructure supporting both analytics and AI/ML-driven product features. - Build and maintain compliant, auditable data storage and processing systems in AWS, with infrastructure-as-code. - Develop and operat
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