Staff Data Engineer

As the most trusted global leader in data-first contract lifecycle management (CLM) software, Agiloft helps organizations manage the end-to-end process of proposing, negotiating, signing, and leveraging contracts using our flexible Data-first Agreement Platform (DAP). With contract data as the foundation, customers quickly and collaboratively reach agreement and leverage contract visibility to thrive with competitive advantage. Employing powerful, pragmatic artificial intelligence as a legal force multiplier, and robust integration capabilities as a data liberator, organizations around the world trust Agiloft’s certified implementers to deliver connected, intelligent, and autonomous solutions across the entire contract lifecycle.

Top analysts like Gartner, Forrester, and IDC agree, all showing Agiloft as a leader in the CLM space. Our no code platform is easily managed and administered by business users, which is why Agiloft is the contract you keep: nearly a full 100% of new customers are satisfied with their initial implementations, and some 97% of customers renew every year. Ours is a growing, vibrant, successful company that is at the forefront of a market that is becoming a must-have for all organizations.

We believe that the way to build the strongest, most vibrant place to work is to bring in individuals from all walks of life, and to support them in bringing their authentic selves to their day, every day. Our working philosophy is that “EX = CX”: when employee experience is excellent, so is customer experience. We support multiple Employee Resource Groups (ERGs), and offer a working environment that supports healthy work/life balance, including floating holidays and a quarterly, no-questions-asked wellness day.

 

 

We are looking for an experienced Staff Data Engineer to lead the next generation of our contract data model. In this role, you’ll collaborate with Product and Engineering to design and deliver a new, more efficient data model that will serve as the foundation for contract intelligence, AI-extracted data, and analytics across our CLM platform. You will play a key role in deciding the go-forward data model and system of record, and in leading its implementation from initial rollout through expanded adoption.

 

A little bit about you

8+ years of experience in data engineering, with a track record of designing and owning data models for complex, production SaaS products with high scale and low latency

Deep expertise in data modeling, including relational, dimensional, and entity or graph-based approaches, and in choosing the right structure for scale, flexibility, and performance

Proven experience leading large-scale schema redesigns or data migrations in live, multi-tenant environments with minimal customer disruption

Hands-on experience building and operating production data pipelines, including batch and streaming processing, using tools such as Spark, Kafka, Airflow, Glue, or similar.

Experience with modern data platforms, including warehouses and lakehouses, and with cloud platforms, preferably AWS

Solid understanding of data governance, data quality, and row- and field-level security and access control models with experience implementing data quality testing, monitoring, and observability for data pipelines and data assets.

Experience designing semantic layers or data models that power analytics, BI, and AI or LLM-based applications

Demonstrated ability to drive architecture decisions across teams, write clear design documents, and scope and plan multi-quarter initiatives

Strong communication skills to effectively collaborate with diverse teams, including product managers, engineers, data scientists, and customer-facing teams

Familiarity with contract lifecycle management, legal tech, or document-heavy enterprise domains is a plus

Ensuring a diverse and inclusive workplace is our priority. We are committed to an environment of acceptance where you are free to bring your full self to work. All employment decisions at Agiloft are based on business needs, job requirements, and individual qualifications without regard to race, color, religion or belief, national or social ethnic origin, sex, age, sexual orientation, gender identity and/or expression, parental status, marital status, Veteran status, or any other status protected by the laws or regulations in the locations where we operate. If you have a need that requires accommodation during the recruiting process, please let us know by contacting Director, Talent Acquisition, Brad Toothman at brad.toothman@agiloft.com.

 

Applicants from underrepresented groups such as minorities, veterans, or individuals with disabilities encouraged to apply.

Applications will be reviewed as submitted. There will be no application deadline for this opportunity.