Senior data-centric software engineer
Doriane
About the role
About
We are looking for a Senior Software Engineer with a “Data-First” mindset to help shape the future of our agricultural intelligence platform. Our domain is highly specialized: we help seed companies structure complex trials, collect field data, and run advanced analytics. You aren’t just a consumer of APIs; you will be the architect of our data’s journey.
Team
You’ll join a collaborative team of 12 (7 developers, 2 designers, 1 QA, 2 POs) to own the evolution of our highly relational PostgreSQL models and our CubeJS semantic layer. As we plan our transition toward a modern OLAP data platform, your expertise in optimization and data modeling will be the cornerstone of our scalability.
Key Responsibilities
- Database Excellence: Own the PostgreSQL strategy. Design complex relational schemas, optimize query performance through advanced indexing, and manage data migrations within a high-stakes SaaS environment.
- Analytics Architecture: Maintain and scale our CubeJS implementation to provide real-time insights from multifaceted data sources.
- Future-Proofing: Lead the R&D and transition toward a dedicated OLAP/Data Warehouse architecture to support our growing analytics needs.
- Full-Stack Engineering (Code-First): Everything we build is code. You will develop and maintain backend services using TypeScript, Drizzle, NestJS, and AWS CDK, ensuring our infrastructure scales alongside our data.
- Quality & Reliability: Advocate for and implement automated testing (Unit, Integration) to ensure our complex data transformations and business logic are rock-solid before they hit the field.
- AI & Data Integration: Leverage AI tools and modern patterns to combine disparate data sources into a cohesive, actionable data model for our users.
- Mentorship: Act as the “Data North Star” for the dev team, promoting best practices in data modeling and SQL performance.
Responsibilities
- Own the PostgreSQL strategy.
- Design complex relational schemas, optimize query performance through advanced indexing, and manage data migrations within a high-stakes SaaS environment.
- Maintain and scale our CubeJS implementation to provide real-time insights from multifaceted data sources.
- Lead the R&D and transition toward a dedicated OLAP/Data Warehouse architecture to support our growing analytics needs.
- Develop and maintain backend services using TypeScript, Drizzle, NestJS, and AWS CDK, ensuring our infrastructure scales alongside our data.
- Advocate for and implement automated testing (Unit, Integration) to ensure our complex data transformations and business logic are rock-solid before they hit the field.
- Leverage AI tools and modern patterns to combine disparate data sources into a cohesive, actionable data model for our users.
- Act as the “Data North Star” for the dev team, promoting best practices in data modeling and SQL performance.
Skills
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