Software Engineer, Growth Data Platform

About Omni

Omni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives teams a governed context graph, so everyone gets the same trusted answer. Ask in plain English, refine in workbooks, or bring your data into tools like Claude, ChatGPT, Cursor, and Slack.

Our team has spent decades building data platforms, and we started Omni to fix problems we saw firsthand. Today, we help customers like Condé Nast, BambooHR, and Synthesia get better answers from their data. We're headquartered in San Francisco and have raised $217M from top investors including ICONIQ, Theory Ventures, and Redpoint Ventures. Our latest $120M Series C valued us at $1.5B.

If you like helping people get more from their data, come build with us. We’d love to hear from you.

Responsibilities

Build and scale the data platform that turns messy GTM signals into reliable, auditable workflows

Design queues, and workers for enrichment, routing, assignment, and activation

Integrate external data sources and APIs across CRM, sales engagement, ads, first and third party intent, and enrichment vendors

Work directly with various GTM teams to turn one-off experiments into reusable platform primitives

Debug production issues across Snowflake, dbt, Dagster, AWS, vendor APIs, webhooks, and downstream business systems

About You

2+ years of experience building data platforms, backend systems, workflow engines, or data / ML infrastructure

Deep experience with analytical data systems such as Snowflake, Databricks, BigQuery, dbt, Spark, Airflow, Dagster, or similar tools

Track record of owning complex, end-to-end systems that serve real users or business-critical workflows

Clear judgment about data modeling, schema evolution, contracts, lineage, and long-term maintainability

You care whether the workflow actually works, whether customers trust it, and whether downstream teams can explain the output

Strong debugging instincts

Tech Stack

You are not expected to have experience with every tool listed below, but you should be excited to work across data infrastructure, backend services, and orchestration.

Snowflake as the warehouse and operational data store for modeled data, queues, workflow state, and activation outputs

dbt for transformation, data models, and tests

Dagster for orchestration of scheduled jobs, dependency-aware workflows, and operational retries

AWS Batch and Lambda for custom workers, vendor enrichment jobs, webhook handling, and stateful background processing

Fivetran

Python and SQL

Terraform and GitHub Actions

Soda

Omni

Location

This role allows for a hybrid schedule in our SF headquarters. If you are based anywhere else in the US, the role is remote.

Omni is an equal opportunity employer. We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.