Senior Data and Cloud Architect

You're a Jedi, so why are you being asked to babysit the Padawans?

Here's a role that will throw you into the swamps of Degobah and ask you to use bridge the gap between complex enterprise business requirements and secure data solutions.

We are partnering with a data and cloud practice that builds enterprise data platforms and AI systems for large scale businesses in the UK and Africa. They need an architect to act as the trusted advisor and build leading-edge data systems.

What you get:

• Paid Certifications: They fully sponsor your technical exams and pay a recurring monthly incentive for your active certifications.
• Flexibility: This is a fully remote role in South Africa. If you prefer getting out of the house, you get access to local co-working spaces like Workshop17.
• The Tech: You will build platforms using Databricks, GCP, Azure, Salesforce, and Anthropic.
• Time Off: Custom leave benefits, which includes getting your birthday off.
• Compensation: Competitive salary based on your technical depth and experience.

What you will actually do:

• Design and roll out enterprise Databricks Lakehouse environments using Unity Catalog, Delta Live Tables, and Spark compute clusters.
• Lead cloud data modernizations and migrate legacy systems to cloud native environments.
• Drive Terraform first IaC deployments and build secure data network perimeters, including Private Link and hierarchical firewalls.
• Handle technical pre-sales. You will build PoC demonstrations, write SOWs, and map out architectures for prospective clients.
• Act as the strategic bridge between complex business requirements and scalable data solutions.

What you need to bring:

• 8 or more years of experience in data or cloud engineering.
• At least 5 years specifically focused on enterprise Databricks architecture.
• Deep practical experience with the Databricks ecosystem, Terraform, CI/CD tools, and identity federation like OIDC or SAML.
• Advanced skills in at least one major cloud provider (GCP, AWS, or Azure).
• Current Databricks certifications (Data Engineer Professional or Lakehouse Architect) and a professional level Cloud Architect certification.
• The ability to explain complex technical concepts to business executives and drive decisions.