Are you passionate about turning complex engineering data into actionable insight? We’re looking for a Senior Data Architect for our client to lead the next generation of engineering data platforms within a modern software factory environment.

You will own an end-to-end engineering data product, defining canonical domain models, designing scalable event-driven architectures, and enabling observability across the entire software lifecycle. Your work will empower teams with self-service analytics, trusted data, and clear feedback loops—from CI/CD pipelines to product and environment health.

This role suits someone with deep experience across software engineering, DevOps/platform engineering, and data architecture, who enjoys operating at both strategic and hands-on levels.

What you’ll do:

• Lead an engineering data product end-to-end

• Design scalable, event-driven data architectures

• Define canonical domain models and metric semantics

• Enable observability and feedback loops across the software lifecycle

• Establish data governance, quality, and access models

• Enable self-service analytics for engineering teams

What we’re looking for:

• 5–10 years across software, DevOps/platform, and data engineering

• 2–5 years in technical leadership or architectural roles

• Strong data modeling and pipeline architecture skills

• Experience with CI/CD & observability ecosystems (e.g., Jenkins, GitLab CI, Grafana, Prometheus, ELK)

• Excellent analytical, communication, and stakeholder collaboration skills