Cloud Solutions Architect, Infrastructure

Methodfi; City of London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading technology company is looking for a Cloud Solutions Architect to join their field team. You will deliver technical solutions that help customers achieve their goals using the company's products. Ideal candidates will have experience in data infrastructure, Kubernetes, and strong communication skills. This role may require travel, primarily supporting customers on the East Coast.

Qualifications

• 4+ years of experience in a data infrastructure or equivalent role.
• Experience setting up and troubleshooting distributed systems.
• Good understanding of network complexities.

Responsibilities

• Implement Astronomer's software in large organizations.
• Guide customers in their Apache Airflow journeys.
• Act as liaison between customer, sales, and product teams.

Skills

Kubernetes experience

Proficiency in Python/Go

Customer-facing skills

Understanding of network architectures

Experience with distributed systems

Tools

Apache Airflow

Cloud provider APIs

Terraform

Job description

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 customer-facing Cloud Solutions Architect (Infrastructure), you will join our field team to deliver world-class technical solutions to customer and prospect business problems. In this role, you’ll engage with a diverse set of use cases where Apache Airflow plays a central role in the overall solution architecture. Your work will directly enable customers to scale their operations and achieve their goals by adopting Astronomer’s products.

This role is pre-sales–oriented and will involve some travel to support business and customer engagements.

You will support customers primarily in the East Coast time zone. Comfort and flexibility with working and traveling within this time zone are essential to ensure effective collaboration and drive customer success.

What you get to do:

• Implement Astronomer’s software and services in the core of some of the world’s largest businesses and organizations.
• Guide our largest and most complex customers in their Apache Airflow journeys.
• Act as the core interface between the Customer, Sales, and Product to ensure that the broader solution around the platform is solving pain points and bringing value to customers.

What you bring to the role:

• 4+ years of experience in a data infrastructure role or equivalent role.
• Strong Kubernetes experience (GKE/EKS/AKS or OpenShift preferred).
• Proficiency in Python/Go.
• Good understanding of network complexities and architectures.
• Versatile Terminal and CLI user, as this will be a hands‑on role, and frequently without access to a GUI.
• Experience setting up and troubleshooting distributed systems.
• Experience with complex SaaS infrastructure operating at scale.
• Experience with at least one major cloud provider API/tooling.
• Cloud-native data architecture experience.
• Strong customer-facing skills.
• Strong oral and written communication skills - should be able to explain complex technical issues to non-technical folks succinctly.

Bonus points if you have:

• 1+ year in a customer-facing role.
• Prior experience using or administering Apache Airflow, Autosys, UC4, Temporal, Dagster, or Prefect.
• Enterprise data experience with or in regulated environments.
• Experience with scripting/automation, specifically infra (Pulumi, Terraform, Ansible, etc.).
• Experience with ElasticSearch/Prometheus/Vault.

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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.