Why This Job is Featured on The SaaS Jobs
This Solutions Engineer role sits at a common pressure point in modern SaaS: turning a powerful platform into repeatable customer outcomes. With Astronomer’s managed Airflow offering positioned in the DataOps layer, the work is closely tied to how SaaS companies operationalize analytics and AI, where reliability, observability, and governance become product-level concerns rather than one-off projects.
From a SaaS career perspective, the role builds a blend of customer-facing technical depth and platform expertise that transfers across developer-platform, data infrastructure, and product-led ecosystems. The remit spans implementation guidance, workflow optimization, and translating field feedback into product improvements, which mirrors how many SaaS companies mature their post-sales motion and close the loop between Services and Product.
This position fits professionals who like being hands-on with Python and production data workflows while also enjoying advisory work and structured delivery. It will suit someone comfortable shifting between refactoring, architecture discussions, and stakeholder communication across distributed channels, and who wants their technical credibility to be built in real customer environments rather than purely internal engineering work.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Employment Type
Full time
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 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io.
About this role:
As a Solutions Engineer, you will be part of the Global Services Delivery Team and will be involved in the delivery of the various use cases in which Airflow is implemented across our customers. These organizations range from seed-stage startups to Fortune 500 enterprises. Although these organizations are in different phases of their data journey, they all can benefit from your expertise as a Solutions Engineer to implement Apache Airflow in a manner that follows best practices and allows continued growth. In this role, you will come to have a deep understanding of both Apache Airflow and Astronomer Products.
Every Solutions Engineer will grow to become an Airflow expert and a trusted advisor to organizations looking to put their data in motion.
This role is based in the Pacific Time Zone (PST).
What you get to do:
You'll be able to speak to and deliver solutions around Apache Airflow and the Astronomer platform. You'll interact with customers and partners to ensure successful Airflow implementation post-sales. You'll be a trusted advisor and help design and develop data pipelines across all types of environments and use cases. Last but not least, you'll have the opportunity to engage with the Apache Airflow project, a thriving open-source community with thousands of contributors.
Maintain and continuously improve your technical expertise. You will become a trusted expert in both Airflow and Astronomer’s managed Airflow Platform. You stay up to date with the latest releases and features while focusing on those that have a greater impact on customers.
Work with customers to educate and guide them regarding Airflow best practices. Perform Airflow code refactoring assessments as a trusted expert for new and existing customers.
Collaborate with team members to design, prototype, and implement engineering solutions for internal and external use.
Act as a liaison by collecting feedback and identifying Airflow/Astronomer improvements through client interactions and relaying these recommendations back to the Product team.
Review and optimize customer data workflows and Airflow system configurations for improved performance.
What you bring to the role:
3-5 years of data-engineering experience, ideally working with Apache Airflow in production environments.
Experience creating DAGs, writing Python, and building Airflow custom operators and hooks.
Excitement about implementing ETL/ELT pipelines, knowledge of applying Data transformations, optimizing and monitoring data pipelines.
Experience with related market products such as Cloudera, Databricks, Snowflake, DBT, AWS, Azure, Google Cloud, ETL Technologies or other analytics solutions.
Empathetic, driven and team-oriented.
Great prioritization skills and ability to execute on customer-facing activities.
A strong verbal and written communicator interacting with assigned customers over a variety of mediums (slack, email, knowledge transfer, and pair programming sessions).
Highly data-driven and intrigued by the challenge of delivering an awesome Astronomer experience to hundreds of customers.
Bonus points if you have:
Experienced with Production implementation of ETL/ELT processes using Modern Data Stack.
Experience building and maintaining CI/CD pipelines.
Experience working on short and long-term Customer engagements.
Experience with infrastructure tools like Docker and Kubernetes.
The estimated salary for this role ranges from CA$120,000 - CA$150,000 based on leveling and geography, along with an equity component and a comprehensive benefits package. This range is merely an estimate; actual compensation may deviate from this range based on skills, experience, and qualifications.
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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.
