[Remote] Sales Engineer at Astronomer

New York, New York, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

DataOps, Enterprise Software, Cloud ComputingIndustries

Requirements

Candidates should have at least 2 years of experience in a Sales Engineering, Solutions Engineering, or Consulting role within the data space, ideally with experience in modern data tools such as Snowflake, Databricks, Fivetran, or Tableau. Familiarity with core data engineering concepts like orchestration, ELT, Git, and Role-Based Access Control (RBAC) is required. Strong verbal and written communication skills, curiosity, customer empathy, and a drive to innovate are also essential. Bonus points are awarded for hands-on Python scripting skills, experience with Apache Airflow or other open-source data tools, background in designing data workflows, customer-facing technical or consultative experience, and experience with Command Line Interfaces (CLI).

Responsibilities

The Sales Engineer will guide clients in deploying data workflows to accelerate business outcomes, design and implement proof-of-concept solutions to address customer data challenges, and conduct demos while providing technical guidance to engineering teams. They will also contribute to the Apache Airflow community by creating technical content and best practices, gather field insights to provide feedback to the Product team, and become an expert in Airflow and workflow orchestration.

Skills

Sales Engineering

Solutions Engineering

Consulting

Data Workflows

Apache Airflow

Workflow Orchestration

Data Engineering

Technical Content Creation

Problem-Solving

Client Feedback

Product Development

Astronomer

Data orchestration platform for pipeline management

About Astronomer

Astronomer.io provides a data orchestration platform that utilizes Apache Airflow to simplify the deployment of data pipelines. Its main product, Astro, helps businesses manage and monitor their data flows, allowing them to focus on delivering essential data pipelines. The platform supports data unification across various clouds and offers over 1500 integrations, making it suitable for data and machine learning teams in industries like finance and e-commerce. Astronomer.io distinguishes itself from competitors by offering enterprise-grade security, zero-downtime upgrades for Airflow, and tools for monitoring pipeline health, which enhance compute efficiency and reduce delays in task scheduling. The company's goal is to empower organizations to optimize their data strategies and achieve a significant return on investment by ensuring their applications operate with maximum reliability.

Cincinnati, OhioHeadquarters

2018Year Founded

$272.1MTotal Funding

SERIES_CCompany Stage

Data & Analytics, Enterprise Software, CybersecurityIndustries

201-500Employees

Benefits

Remote Work Options

Company Equity

Risks

Increased competition from platforms like Prefect and Dagster poses a market challenge.

Over-reliance on Apache Airflow could be risky if community focus shifts.

Rapid AI advancements may outpace Astronomer's feature integration, risking client dissatisfaction.

Differentiation

Astronomer offers Astro, a modern data orchestration platform powered by Apache Airflow.

Astro enables data teams to build, run, and observe data pipelines-as-code efficiently.

Astronomer provides enterprise-grade security and over 1500 integrations for data unification.

Upsides

Astronomer's revenue grew over 200% in H1 2023, indicating strong market demand.

Collaboration with Microsoft Azure enhances Astronomer's cloud-native data orchestration capabilities.

Integration with Anyscale boosts Astronomer's offering for scalable machine learning workflows.

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