Software Engineer, Growth Data Platform

Omni; San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401(k) Plan

Unlimited PTO

Job summary

Omni in San Francisco seeks a data platform engineer to build scalable data solutions and integrate various external APIs. You will be responsible for ensuring robust workstreams and debugging production issues, requiring at least 2 years of relevant experience.

The role demands expertise in data infrastructure tools, particularly Snowflake and dbt, along with strong debugging instincts. Join a passionate team offering competitive benefits, including health insurance and unlimited PTO.

Qualifications

• 2+ years of experience building data platforms or backend systems.
• Deep experience with Snowflake, Databricks, or similar tools.
• Track record of owning complex systems that serve real users.

Responsibilities

• Build and scale data platforms for reliable workflows.
• Integrate external data sources and APIs across systems.
• Debug production issues across data workflows.

Skills

Data platform development

Backend systems

Analytical data systems

Strong debugging

Tools

Snowflake

dbt

Dagster

AWS

Python

SQL

Job description

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 enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.

Based in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.

What you'll do

• 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

What we're looking for

• 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

Why join us

• Passionate, close‑knit team with extensive experience in the space, including founders from Looker and Stitch Data
• Health, dental, and vision insurance
• 401(k) Plan
• Unlimited PTO

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.