Astronomer

Recent

Sales Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Technical sales engineer role supporting data teams with the Astro DataOps platform. Lead discovery, demos, and architecture discussions with Account Executives; translate customer pain into high-impact data solutions; build demos/POCs with Python, Airflow, and related tools; guide DataOps strategies from orchestration to observability; collaborate cross-functionally to inform go-to-market and product feedback.

Location: Boston, New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Lead the technical sales motion in partnership with Account Executives — discovery, demos, proof-of-concepts, and architecture discussions
•Understand customer pain and translate it into high-impact technical solutions tied to business value
•Build and deliver tailored demos and POCs using Python, Airflow, and related tools
•Guide customers through modern DataOps strategies — from orchestration to observability and automation
•Influence product feedback loops, collaborate cross-functionally, and contribute to go-to-market strategy

Travel: High travel

Key Requirements

•Python fluency and CLI comfort, experience with Docker
•Familiarity with cloud-native data architectures (AWS, GCP, or Azure)
•Understanding of data engineering workflows: orchestration, ELT/ETL, DAGs, CI/CD
•Exposure to Airflow, Snowflake, Databricks, BigQuery, dbt, or similar
•3–10 years total experience with 2+ years in a customer-facing technical role

Experience:3-10 yearsDataCloudDataopsAnalyticsAi

Skills:CommunicationCustomer-facingProblem-solvingPresentationTeamwork

Languages:English

Tech Stack:PythonAirflowDockerAWSGCPAzureSnowflakeDatabricksBigQueryDbt

Company Brief

Astronomer

Develops Astro, a unified DataOps platform powered by Apache Airflow to build, run, and monitor data pipelines at scale, helping enterprises operationalize analytics and production AI.

Industry: Data Infrastructure

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series D

Headquarters: New York, United States

Founded: 2018

Glassdoor: 3.9

Website LinkedIn Glassdoor

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Astronomer

Recent

Sales Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: Boston, New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Lead the technical sales motion in partnership with Account Executives — discovery, demos, proof-of-concepts, and architecture discussions
•Understand customer pain and translate it into high-impact technical solutions tied to business value
•Build and deliver tailored demos and POCs using Python, Airflow, and related tools
•Guide customers through modern DataOps strategies — from orchestration to observability and automation
•Influence product feedback loops, collaborate cross-functionally, and contribute to go-to-market strategy

Travel: High travel

Key Requirements

•Python fluency and CLI comfort, experience with Docker
•Familiarity with cloud-native data architectures (AWS, GCP, or Azure)
•Understanding of data engineering workflows: orchestration, ELT/ETL, DAGs, CI/CD
•Exposure to Airflow, Snowflake, Databricks, BigQuery, dbt, or similar
•3–10 years total experience with 2+ years in a customer-facing technical role

Experience:3-10 yearsDataCloudDataopsAnalyticsAi

Skills:CommunicationCustomer-facingProblem-solvingPresentationTeamwork

Languages:English

Tech Stack:PythonAirflowDockerAWSGCPAzureSnowflakeDatabricksBigQueryDbt

Company Brief

Astronomer

Develops Astro, a unified DataOps platform powered by Apache Airflow to build, run, and monitor data pipelines at scale, helping enterprises operationalize analytics and production AI.

Industry: Data Infrastructure

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series D

Headquarters: New York, United States

Founded: 2018

Glassdoor: 3.9

Website LinkedIn Glassdoor