Compliance Platform Engineer
PHOENIQS
Compliance Platform Engineer
PHOENIQS
Delivers managed analytics platforms and consulting
Phoeniqs Technologies | Powering Sovereign Cloud Infrastructure
At Phoeniqs Technologies, we engineer the infrastructure that powers secure, compliant, enterprise‑grade digital ecosystems.
Job Description
Position Summary:
Phoeniqs is seeking a highly skilled Compliance Platform Engineer with a strong GRC (Governance, Risk, and Compliance) focus to join the Engineering organization.
This role is responsible for ensuring that regulatory requirements and certification frameworks are translated into concrete technical capabilities embedded within our platform, systems, and engineering processes. The focus is on building solutions that are secure, compliant by design, automated, and continuously verifiable, rather than relying on documentation alone.
The ideal candidate combines hands-on engineering expertise with a deep understanding of European and Swiss regulatory frameworks, and is capable of turning these into scalable, enforceable, and auditable technical implementations. The role contributes directly to certifications and future audits, ensuring that compliance is a natural outcome of how the platform operates.
Key Responsibilities
Regulatory & Certification Translation (Core Focus):
Compliance as a Platform Capability:
Certification & Audit Readiness (Implementation-Focused):
Risk & Control Effectiveness:
Cross-functional Enablement:
Continuous Improvement & Compliance Engineering:
Qualifications:
PHOENIQS provides managed technology services and analytics consulting, designing and building custom analytics platforms for clients in financial services, media, and eCommerce. It follows a three-step process—design, build, and knowledge transfer—with an option to hand over a ready-to-run platform after client teams are prepared, and it earns consulting fees plus ongoing managed services. The company also hosts and scales platforms, migrating client data centers to secure off-site facilities and addressing data discipline gaps essential for deploying machine learning and AI. Its goal is to help clients become data-driven by delivering scalable, secure analytics environments and sustainable data platforms with end-to-end delivery and long-term support.
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