Software Engineer, Growth Data Platform
San Francisco, California, United States
- Pay
- Salary not listed in the saved posting
- Work setup
Working pattern needs review — work setup source
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. Why Join Us
Read the full posting- Employment
- Unconfirmed
What you’ll work on
Full postingBuild and scale the data platform that turns messy GTM signals into reliable, auditable workflows
Design queues, and workers for enrichment, routing, assignment, and activation
Work directly with various GTM teams to turn one-off experiments into reusable platform primitives
From the employer’s posting
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
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
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 you’ll bring
All qualificationsCore experience
- 2+ years of experience building data platforms, backend systems, workflow engines, or data / ML infrastructure
- 401(k) Plan (for US-based roles)
- Deep experience with analytical data systems such as Snowflake, Databricks, BigQuery, dbt, Spark, Airflow, Dagster, or similar tools
Qualification wording
2+ years of experience building data platforms, backend systems, workflow engines, or data / ML infrastructure
401(k) Plan (for US-based roles)
Deep experience with analytical data systems such as Snowflake, Databricks, BigQuery, dbt, Spark, Airflow, Dagster, or similar tools
Tools in this posting
- AWS
- BigQuery
- Databricks
- dbt
- Snowflake
- Spark
- Airflow
- Dagster
- SQL
- Python
- Fivetran
- Terraform
Source — Tool mentions in context
- 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
- 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
- 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
- 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
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
- 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
- AWS Batch and Lambda for custom workers, vendor enrichment jobs, webhook handling, and stateful background processing - Fivetran - Python and SQL
- Python and SQL - Terraform and GitHub Actions - Soda
About Omni Enterprises
Omni is the AI analytics platform that turns company data into a trusted source of truth for AI.
In the employer’s words · Read in context
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.
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.
Why Join Us
Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team
Health, dental, and vision insurance
401(k) Plan (for US-based roles)
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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
San Francisco, California, United States
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. Why Join Us
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jul 2, 2026
- Recorded sightings
- 47
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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