At a Glance
- Tasks: Design and implement data solutions, guiding clients through complex challenges.
- Company: Join Astronomer, a leader in DataOps and workflow orchestration.
- Benefits: Competitive salary, diverse team, and opportunities for professional growth.
- Why this job: Make a real impact while mastering cutting-edge data technologies.
- Qualifications: 2+ years in Sales Engineering with data tools experience.
- Other info: Be part of a diverse team that values innovation and collaboration.
The predicted salary is between 36000 - 60000 £ 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.
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.
What You Get
- Solve Real-World Problems: Design and implement proof-of-concept solutions that help customers tackle real data challenges, from concept to production.
- Be a Trusted Advisor: 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.
What You Bring To The Role
- Data Engineering Know-How: Familiarity with core data engineering concepts including orchestration, ELT, Git, and Role-Based Access Control (RBAC), with hands-on experience or working knowledge of Apache Airflow in a customer environment.
- 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.
- Effective Communication: Strong verbal and written communication skills to simplify complex technical concepts for diverse audiences.
- Curiosity and Customer Empathy: A genuine desire to understand customer needs, patience, and empathy to support them through challenges.
- Drive to Innovate: 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 open-source data tools.
- Background in designing data workflows in a production environment.
- Customer-facing experience in a technical or consultative role.
- Experience working with Command Line Interfaces (CLI).
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.
Sales Engineer employer: Astronomer
Contact Detail:
Astronomer Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sales Engineer
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Astronomer on LinkedIn. Ask them about their experiences and any tips they might have for landing the Sales Engineer role. Personal connections can give you insights that a job description just can't.
✨Tip Number 2
Show off your skills in action! Prepare a mini-project or proof-of-concept that demonstrates your understanding of data workflows and Apache Airflow. Bring this to your interview to showcase your problem-solving abilities and technical know-how.
✨Tip Number 3
Be ready to chat about real-world challenges! Think of examples where you've tackled complex data issues in previous roles. This will help you illustrate your experience and how you can be a trusted advisor to clients at Astronomer.
✨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 Sales Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Sales Engineer role. Highlight your experience with data engineering concepts and any hands-on work with Apache Airflow. We want to see how your skills align with what we do at Astronomer!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data workflows and how you can help our clients tackle their challenges. Be genuine and let your personality come through!
Showcase Your Communication Skills: Since effective communication is key in this role, make sure your application reflects your ability to simplify complex concepts. Whether it's in your CV or cover letter, clarity and conciseness are crucial for us.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining the Astronomer team!
How to prepare for a job interview at Astronomer
✨Know Your Tech
Make sure you brush up on your knowledge of Apache Airflow and other data engineering concepts. Be ready to discuss how you've used these tools in past roles, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've designed and implemented solutions for real-world data challenges. Think about the impact your work had on previous clients and be ready to explain your thought process during those projects.
✨Communicate Clearly
Practice simplifying complex technical concepts. You might be asked to explain a challenging topic to someone without a technical background, so focus on being clear and concise in your explanations.
✨Demonstrate Curiosity
Express your eagerness to learn and innovate. Be prepared to discuss new tools or techniques you've explored recently and how they could benefit the role. Showing genuine interest in the field can set you apart from other candidates.