Amir A. — CTO

Tech Lead Data Architect driving the design and ownership of enterprise Data & AI platforms across cloud ecosystems. I architect and lead modern data platforms end-to-end — from event-driven ingestion and IoT streaming to governance, analytics, and AI workloads — ensuring technical correctness, scalability, operational resilience, and economic efficiency at production scale. My expertise lies in modernizing legacy systems into cloud-native Lakehouse and distributed architectures (Microsoft Fabric, Databricks, Spark-based environments), structured around Medallion and Lambda patterns, domain-driven design, and well-architected principles. I define architecture standards, data contracts, and engineering guardrails that enable teams to deliver consistently without compromising platform integrity. Beyond architecture design, I take ownership of platform sustainability: • Data Platform Architecture – Multi-tenant, multi-environment environments built for growth, domain isolation, and long-term evolvability. • Event-Driven & IoT Streaming Systems – Real-time analytics pipelines with clearly defined SLAs/SLOs, recovery patterns, and observability. • AI & Intelligent Systems – Implementation of ML workflows, RAG architectures, and domain-focused AI agents enabling business-facing data interaction. • FinOps & Capacity Strategy – Architectural optimization of workloads and deployment models, driving substantial efficiency gains (including >60% reduction in provisioning and operational overhead) aligned with company growth objectives. • Governance & Data Security – Embedded RBAC models, lineage, compliance frameworks, and secure-by-design platform foundations. • DevOps & Infrastructure as Code – Standardized CI/CD pipelines and reproducible environments using Terraform, Bicep, and cloud CLI automation to enforce engineering discipline at scale. As a hands-on technical leader, I mentor engineers, review architectural decisions, and collaborate with executive stakeholders, product teams, and multicultural/offshore environments to align technology with strategic business outcomes. I focus on building data platforms that are scalable, secure, cost-optimized, and structurally designed to evolve with the organization.

Stackforce AI infers this person is a Data Architect specializing in cloud-native solutions and AI-driven data platforms.

Location: Paris, Île-de-France, France

Experience: 0 mo