At a Glance
- Tasks: Design and build scalable data systems while collaborating with a talented team.
- Company: Join Astronomer, a leader in DataOps and cloud infrastructure innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a diverse team that values innovation and collaboration.
- Why this job: Make a real impact on how global organisations manage their data pipelines.
- Qualifications: Experience with Postgres, cloud platforms, and strong skills in Golang and Kubernetes.
The predicted salary is between 70000 - 90000 £ per year.
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.
About this role: At Astronomer, we’re redefining how companies run Apache Airflow at scale. Our R&D organization is home to some of the most innovative minds in cloud infrastructure and open-source software. You can’t spell “Data Orchestration” without “Data”, and we’re looking to add a world-class Staff+ level engineer to our team, to set out our Data and Database story as we level up our platform’s Reliability, cost profile and growth trajectory. You get to go in at the ground level of how our production infrastructure is designed, built, tested and deployed. Your work will directly influence how we build Astro, Observe and our IDE product, as well as how global organizations orchestrate data pipelines at scale—making them faster, more reliable, and easier to manage.
What you get to do:
- Be a subject-matter expert in how we treat Data at scale. Astronomer has a number of different databases and data sources at work providing our platform, and our needs are evolving. We’re looking for a database and data platforms expert to map out how we store, retrieve, keep safe, and otherwise be responsible curators of ours and customers’ data.
- Astronomer’s stack is fairly heavily Postgres-based, with some blob storage and some specialised options for certain data types - you get to recommend, design and later lead building the data systems that will help us continue to scale.
- This is very much a technical role; you’ll be just as active in building these systems and ensuring they’re fit for purpose as specifying and designing.
- You’ll be at the forefront of how we work together as a Platform Engineering team and an R&D group more broadly.
What you bring to the role:
- Hands-on experience designing, developing, and scaling production infrastructure.
- Extensive knowledge of Postgres and Postgres-like cloud offerings (AWS, GCP, Azure).
- Extensive and recent experience with building low-level data systems and/or managed data platforms.
- In-depth knowledge and practical experience of the product and technology space in Database and related fields (Blob, NoSQL, Timeseries, Graph, Vector).
- Experience defining requirements and making and justifying technology choices around the data space.
- Strong experience in Non-Abstract Systems design and implementation.
- Strong proficiency in Golang and in-depth experience with Kubernetes.
- Strong communication skills, both written and verbal, with experience in working with a globally distributed team in delivery.
Bonus points if you have:
- Experience working with Spanner, AlloyDB and/or other cloud-native databases, including hands-on experience with provisioning, development practices and migration of data.
- Experience working on a SaaS/PaaS product across multiple cloud providers.
- Experience building internal data platforms from cloud-native component parts - we have a healthy mix of build vs. buy; sometimes building is the right choice.
- Experience with Apache Airflow.
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.
Staff Software Engineer, Data employer: Dormont Manufacturing Co
At Astronomer, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to innovate and excel in their roles. As a Staff Software Engineer, you'll have the opportunity to work with cutting-edge technology in a collaborative environment, while benefiting from continuous professional development and a commitment to work-life balance. Our hybrid work model allows for flexibility, ensuring you can thrive both personally and professionally in a supportive atmosphere that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Software Engineer, Data
✨Tip Number 1
Network like a pro! Reach out to current employees at Astronomer on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role. Personal connections can make a huge difference!
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or portfolio showcasing your projects, make sure to highlight that in conversations. It’s a great way to demonstrate your hands-on experience with data systems and software engineering.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Postgres and Kubernetes knowledge. Be ready to discuss your past projects and how you’ve tackled challenges in data orchestration. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Astronomer team.
We think you need these skills to ace Staff Software Engineer, Data
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Staff Software Engineer, Data. Highlight your hands-on experience with Postgres and cloud offerings, as well as any relevant projects that showcase your skills in building data systems.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data orchestration and how your experience aligns with Astronomer's mission. Don't forget to mention specific technologies you've worked with!
Showcase Your Communication Skills:Since strong communication is key for this role, make sure your written application reflects that. Be clear and concise, and don't hesitate to share examples of how you've successfully collaborated with distributed teams.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to showcase your talents directly to our team!
How to prepare for a job interview at Dormont Manufacturing Co
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data orchestration and database management, especially Postgres. Be ready to discuss how you've designed and scaled production infrastructure in the past, as this will show your expertise and fit for the role.
✨Showcase Your Technical Skills
Prepare to dive deep into your experience with Golang, Kubernetes, and cloud platforms like AWS, GCP, or Azure. Have specific examples ready that demonstrate your hands-on experience with building low-level data systems and managed data platforms.
✨Communicate Clearly and Confidently
Since you'll be working with a globally distributed team, strong communication skills are key. Practice explaining complex technical concepts in simple terms, as this will help you connect with your interviewers and showcase your ability to collaborate effectively.
✨Be Ready to Discuss Technology Choices
Think about the technology choices you've made in previous roles, particularly around data storage and retrieval. Be prepared to justify your decisions and discuss how they impacted the projects you worked on, as this will highlight your critical thinking and problem-solving skills.