Software Engineer, Growth Data Platform

About the role

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.

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

Requirements

• 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

Skills

• Tech Stack: 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
• Terraform and GitHub Actions
• Soda

Benefits

• Health, dental, and vision insurance
• 401(k) Plan
• Unlimited PTO

Pay

Compensation Range: $170K - $250K

Schedule

N/A