About the role

Staff Database Engineer at Owner, an AI-native system for local business owners. Helping product teams store and access data effectively at scale while working remotely.

Responsibilities

Lead the migration of product workloads
Give product engineers a clear home for "where should this data live and how should I access it?"
Build reusable primitives — data-sync utilities, ORM best practices, and access-pattern / schema / index review — so teams stop reinventing patterns.
Expand the product-data platform over time into caching, search, and event streaming.

Hands-on experience working with databases inside the product — owning OLTP access patterns, indexing, query optimization, and schema design as part of building user-facing applications
Comfortable both writing code in the product stack and reasoning carefully at the database layer
Deep expertise with a major relational engine (Postgres strongly preferred) in high-volume production; experience migrating workloads (e.g., MongoDB → Postgres) a strong plus
Expertise in schema design, indexing, query optimization, and zero-downtime migrations on large, live tables
Experience scaling systems through significant traffic and data growth, in a domain where understanding access patterns at scale is a survival skill — e.g. advertising analytics, fintech / trading systems, large-scale consumer SaaS, or marketplaces
Strong software engineering ability — writes, reviews, and ships production code, not SQL alone
Flexible problem solving
Strong written and verbal communication skills
Deep sense of personal ownership and accountability
Builder mentality
Nice to Haves
Experience building shared platform primitives — data-sync tooling, ORM best practices, caching (Redis), search, or queues / event streaming
Experience with payments or financial data
Experience with cloud infrastructure (AWS/GCP), infrastructure-as-code (Terraform), and observability/performance tooling