Sales Engineering Tech
Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 700 of the world's leading enterprises, Astronomer lets businesses do more with their data. As a Sales Engineer at Astronomer, you’ll be a key partner to our clients, guiding them in deploying powerful data workflows to accelerate their business outcomes. You'll have the chance to work with cutting-edge technology, help customers solve complex data challenges, and influence our product’s evolution through client feedback. This role is ideal for someone who wants to make a visible impact while growing into an expert in workflow orchestration and Apache Airflow.
Solve Real-World Problems : Design and implement proof-of-concept solutions that help customers tackle real data challenges, from concept to production.
Conduct demos and provide technical guidance to engineering teams, showing them how our platform can transform their workflows.
Drive Community Impact : Contribute to the Apache Airflow community by creating technical content and best practices, positioning Astronomer as a thought leader in workflow orchestration.
Influence Product Direction : Act as a liaison by gathering field insights and providing critical feedback to the Product team to shape the future of our platform.
Develop and Grow : Become an expert in Airflow, workflow orchestration, and the data engineering landscape as you collaborate across departments and work on impactful projects.
Experience and Expertise : 2+ years in a Sales Engineering, Solutions Engineering, Consulting or similar role within the data space, ideally with experience in modern data tools like Snowflake, Databricks, Fivetran, or Tableau.
Data Engineering Know-How : Familiarity with core data engineering concepts such as orchestration, ELT, Git, and Role-Based Access Control (RBAC).
Curiosity and Customer Empathy : A genuine desire to understand customer needs, patience, and empathy to support them through challenges.
Eagerness to learn and experiment with new technical concepts, tools, and approaches to stay ahead in the data industry.
Bonus points if you have
Hands-on Python scripting skills for data pipeline support.
Experience with Apache Airflow or other open-source data tools.
Background in designing data workflows in a production environment.
Customer-facing experience in a technical or consultative role.
Join a team that’s transforming data workflows and making big data accessible and manageable for all.
Growth Opportunities : We support your career development through mentorship, training, and pathways for internal growth.
As a remote-friendly company, we embrace flexible work arrangements and believe in a collaborative, inclusive environment.
Enjoy competitive benefits, work-from-home stipend, and opportunities to connect with a global community of innovators in data.
The estimated total compensation for this role ranges from $200,000 - $250,000, along with an equity component. LI-Remote
At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Astronomer is a remote-first company.
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Solve Real-World Problems : Design and implement proof-of-concept solutions that help customers tackle real data challenges, from concept to production.
Conduct demos and provide technical guidance to engineering teams, showing them how our platform can transform their workflows.
Drive Community Impact : Contribute to the Apache Airflow community by creating technical content and best practices, positioning Astronomer as a thought leader in workflow orchestration.
Influence Product Direction : Act as a liaison by gathering field insights and providing critical feedback to the Product team to shape the future of our platform.
Develop and Grow : Become an expert in Airflow, workflow orchestration, and the data engineering landscape as you collaborate across departments and work on impactful projects.
Experience and Expertise : 2+ years in a Sales Engineering, Solutions Engineering, Consulting or similar role within the data space, ideally with experience in modern data tools like Snowflake, Databricks, Fivetran, or Tableau.
Data Engineering Know-How : Familiarity with core data engineering concepts such as orchestration, ELT, Git, and Role-Based Access Control (RBAC).
Curiosity and Customer Empathy : A genuine desire to understand customer needs, patience, and empathy to support them through challenges.
Eagerness to learn and experiment with new technical concepts, tools, and approaches to stay ahead in the data industry.
Bonus points if you have
Hands-on Python scripting skills for data pipeline support.
Experience with Apache Airflow or other open-source data tools.
Background in designing data workflows in a production environment.
Customer-facing experience in a technical or consultative role.
Join a team that’s transforming data workflows and making big data accessible and manageable for all.
Growth Opportunities : We support your career development through mentorship, training, and pathways for internal growth.
As a remote-friendly company, we embrace flexible work arrangements and believe in a collaborative, inclusive environment.
Enjoy competitive benefits, work-from-home stipend, and opportunities to connect with a global community of innovators in data.
The estimated total compensation for this role ranges from $200,000 - $250,000, along with an equity component. LI-Remote
At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Astronomer is a remote-first company.
Apply tot his job
Apply To this Job