Open role · Engineering

Software Engineer, Enterprise Data Platform

Work mode: Remote (EST preferred) Engagement type: Full-time Contract Req ID: GDBI-2L4N6I0K

Role summary

Build secure, governed and scalable enterprise data platforms that support analytics, AI and business intelligence in complex, regulated environments.

What you’ll do

Design and evolve lakehouse and enterprise data-platform architectures that can serve analytics, AI and operational workloads.
Build reliable batch and streaming pipelines across cloud, regional and client environments.
Strengthen cataloging, metadata, lineage, access control, encryption and auditability across the platform.
Improve monitoring, incident response, performance and cloud-cost efficiency for production data services.
Support AI and machine-learning workloads with shared data, feature, embedding and model-serving infrastructure.
Work directly with enterprise stakeholders to translate security, governance and compliance requirements into architecture.

What you should bring

Strong software engineering foundations in Python, Java or Scala, together with advanced SQL and data modeling skills.
Hands-on experience with distributed data systems such as Spark, Databricks, Kafka and modern lakehouse patterns.
Practical experience with AWS and/or Azure data services and infrastructure-as-code.
Understanding of security controls, encryption, access management, audit logging and data-governance requirements.
Experience operating production systems, diagnosing failures and improving reliability.
Ability to communicate architecture decisions clearly with technical teams and enterprise stakeholders.

Useful additional experience

Multi-region or multi-cloud architecture experience
Data catalog or governance-platform experience
MLOps or AI-infrastructure experience
Cloud or security certifications

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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