Open role · Engineering

Technical Architect - Professional Services

Work mode: Remote (EST preferred) Engagement type: Independent contractor, full-time or project-based Req ID: GDBI-6F8H0C4E

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Role summary

Lead the technical architecture of complex NoèmeX product deployments and custom enterprise platforms across data engineering, analytics, automation and AI.

What you’ll do

Translate client business and technical requirements into target architectures and delivery plans.
Lead design sessions for data platforms, integrations, automation and AI/ML implementations.
Contribute hands-on to data pipelines, migrations, integration patterns and production deployment.
Architect secure, scalable AWS and/or Azure environments aligned to enterprise constraints.
Identify gaps between current-state and target-state capabilities and sequence the transformation.
Coordinate with Product, Engineering, Data Science, Sales and client teams throughout delivery.

What you should bring

Strong enterprise architecture or solution architecture experience in client-facing environments.
Deep practical knowledge of data engineering, analytics and cloud architecture.
Hands-on experience delivering production systems rather than architecture in isolation.
Ability to lead workshops with senior client stakeholders and document decisions clearly.
Experience with security, integration, scalability and operational-readiness considerations.
Strong judgment about technology trade-offs, sequencing and implementation risk.

Useful additional experience

Professional-services or consulting background
AWS/Azure architecture certifications
AI/ML deployment experience
Regulated-industry delivery

How we work

NoèmeX teams stay close to the business problem and the production system. You may work across client delivery, platform development or internal capabilities depending on the role. We value clear specifications, maintainable architecture, disciplined execution and direct communication.

Hiring process

The exact assessment varies by role. Shortlisted candidates should expect an initial conversation followed by a role-relevant technical, practical or structured panel assessment before a final decision.

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