2 months ago
Remote, United States or San Francisco, CA, USAMid Level
Base Salary
$170k - $250k/yr
Responsibilities
- Build and scale a data platform that converts go-to-market 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, advertising, intent, and enrichment systems.
- Partner with go-to-market 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
- At least 2 years of experience building data platforms, backend systems, workflow engines, or data and 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 serving real users or business-critical workflows.
- Strong judgment around data modeling, schema evolution, contracts, lineage, and long-term maintainability.
- Strong debugging instincts and concern for workflow reliability, customer trust, and explainable outputs.
Benefits
- Health, dental, and vision insurance.
- 401(k) plan.
- Unlimited paid time off.
Tech Stack
Categories
BackendData Engineering
About Omni
Omni is an AI analytics platform that empowers everyone—regardless of technical ability—to easily analyze data using AI, spreadsheets, SQL, or point-and-click interfaces. It is built on a semantic layer that makes sure every insight is accurate and dependable. Beyond powering internal analytics, Omni makes it easy for businesses to offer highly customizable in-product analytics to their customers.