About the job
Join Us in Transforming the Grocery Experience
At Instacart, we believe that everyone deserves access to the food they love, while also having the opportunity to spend quality time with family and friends. We view grocery delivery not just as a service, but as a complex challenge full of possibilities to meet the diverse needs of our community. Our goal is to provide a vital service that customers trust for their grocery and household needs, while also offering flexible earning opportunities for Instacart Personal Shoppers.
Instacart has become an essential resource for millions, and we are expanding our team to help propel our mission forward. If you are ready to engage in meaningful work that impacts lives, we welcome you to join us.
Flexible Work Environment
At Instacart, we understand that there is no one-size-fits-all approach to productivity. Our team members enjoy the flexibility to choose their ideal work environment—whether from home, a shared workspace, or their favorite café—while fostering community connections through regular in-person events. Discover more about our flexible work culture.
Role Overview
The Data Infrastructure team at Instacart is responsible for building and maintaining the systems that drive our data ecosystem, including a cutting-edge open data lakehouse based on Apache Iceberg, a multi-engine computing platform for both streaming and analytical workloads, and user-friendly tools that empower our Product, Data Science, Machine Learning, Ads, Finance, and engineering teams to work swiftly with data.
We are seeking a Staff Software Engineer specializing in Data Infrastructure to join our Data Governance and Foundations Team. In this pivotal role, you will take on the responsibility of leading the architecture and implementation of our open lakehouse foundation, governance strategies, and multi-engine compute initiatives—striking a balance between current reliability and long-term scalability, maturity, and cost-effectiveness.
You will collaborate closely with engineering leadership and stakeholders across various departments, including Data Science, ML Platform, Ads Infrastructure, Finance Engineering, Product Engineering, and Security. In a fast-paced environment where your architectural decisions carry significant technical and financial implications, you will have the autonomy to make impactful contributions. If you enjoy tackling complex, large-scale challenges and are willing to roll up your sleeves, this is your chance to influence the direction of our data infrastructure.

