Astronomer designed Astro, a modern data orchestration platform, powered by Apache Airflow™. Astro enables companies to place Apache Airflow at the core of their data operations, providing ease of use, scalability, and enterprise-grade security, to ensure the reliable delivery of mission-critical data pipelines.
We’re a globally-distributed and rapidly growing venture-backed team of learners, innovators and collaborators. Our mission is to build an Enterprise-grade product that makes it easy for data teams at Fortune 500’s and startups alike to adopt Apache Airflow. As a member of our team, you will be at the forefront of the industry as we strive to deliver the world's data.
Your background may be unconventional; as long as you have the essential qualifications, we encourage you to apply. While having "bonus" qualifications makes for a strong candidate, Astronomer values diverse experiences. Many of us at Astronomer haven't followed traditional career paths, and we welcome it if yours hasn't either.
As a Senior Solutions Engineer, you will work across our customer/client base to improve and support Apache Airflow implementations and Astronomer's best-in-class managed service. Our customers range from seed-stage startups to Fortune 500 enterprises. Using your expertise as a Solutions Engineer, you will implement Apache Airflow in a manner that follows best practices and allows continued growth, and will speak to and deliver solutions around Apache Airflow and the Astronomer platform.
In this role, you will deliver solutions around Apache Airflow and the Astronomer platform. You'll engage with customers and partners to ensure successful Astronomer implementation post-sales and post-onboarding. You'll be a trusted advisor and help architect data pipelines across all types of environments and use cases. You'll have the opportunity to engage with the Apache Airflow project, a thriving open-source community with thousands of global contributors.
Own a small number of our most important accounts, ensuring our largest and most strategic customers are extracting the most value out of their Astronomer investment.
Exercise empathy for customers, advocating for their use-cases, to help inform and drive Airflow and Astronomer product roadmaps.
Work with customers in optimizing data pipelines, perform code refactoring, and provide them solutions to conform to industry best practices.
Inform the product roadmap by identifying and documented Airflow/Astronomer improvements through client interactions.
Prioritize and execute solutions to customer challenges.
Implement and advise customers on the benefits of leveraging the latest Airflow features in their data engineering pipelines.
Contribute to the Airflow Ecosystem and steward the open source community
Data-engineering experience (4+ years).
Experience with Apache Airflow in production environments.
Communication skills that allow you to know what to say and, more importantly, how to say it regardless of the medium (slack, email, webinars, pair programming sessions).
Experienced with creating DAGs, writing Python Scripts, SQL and Database concepts.
Docker and Kubernetes (or similar infrastructure tooling) knowledge and experience.
Experience working on short and long-term Customer engagements
Ability to explain highly technical issues to a non-technical audience.
Comfort leading presentations and product demos to large groups.
Implemented ETL/ELT processes in production using Modern Data Stack, with products such as Cloudera, Databricks, Snowflake, DBT, AWS, Azure, Google Cloud, ETL Technologies or other analytics solutions.
Built and maintained CI/CD pipelines.
Built automation tools, custom operators or hooks.
Excitement about the challenge of delivering an awesome Astronomer experience to hundreds of customers.
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.