Architecture Jobs in Italy
There are 249 open Architecture jobs in Italy on freehire right now. 91 of them were posted recently. The skills employers ask for most often are cloud, azure and ai.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| EUR | year | €37,375 | €42,250 | €50,000 | 16 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- cloud 67%
- azure 40%
- ai 39%
- gcp 31%
- aws 31%
- python 24%
- cloud-native 23%
- api 22%
How the work is done
- Hybrid 32 · 13%
- Remote 24 · 10%
- Onsite 6 · 2%
Visa sponsorship offered in 67% of the 18 postings that state a position on it.
Seniority
- Senior 37
- Lead 14
- Principal 3
- Junior 2
- Middle 1
Who is hiring
- 1000+ employees 86
- 501-1000 employees 19
- 51-200 employees 4
- 11-50 employees 1
Data & AI Architect: Lakehouse, Pipelines & Governance
Designs and oversees data pipelines and analytics platforms using Databricks and Power BI, ensuring governance and scalable architecture.
GCP Data Architect: Real-Time Pipelines & Data Quality
Designs and builds secure, scalable real-time data pipelines and systems on Google Cloud, using Scala/Java/Python and BigQuery to enable data-driven decisions.
Databricks Expert - Cloud Data Architect & Engineer
Design and implement cloud-native data pipelines on Databricks, collaborating with teams to define Big Data use cases and migrate workloads to the cloud.
Big Data Architect & Engineer
Designs and builds big-data pipelines using Kafka, Spark, and cloud services; writes SQL and collaborates with cross-functional teams.
AI & Data Solutions Architect | Lead Data Pipelines & ML
Designs end-to-end data and AI architectures, leads ML pipelines and MLOps, and collaborates with cross-functional teams to deliver Generative AI solutions in the cloud.
GCP Data Architect & Engineer: Real-Time Pipelines & BigQuery
Designs and builds secure, scalable GCP data pipelines and BigQuery solutions to enable real-time analytics and data-driven decisions for global clients.
Data Architect & Engineer: Databricks Lakehouse, Remote
Designs and builds scalable data architectures on Databricks Lakehouse, including ETL/ELT pipelines and REST API integrations using Spark and Python.
Databricks Data Architect & Engineer for ML Pipelines
Designs and builds ML data pipelines on Databricks, migrating workloads to cloud and maintaining distributed infrastructure with Grafana/Prometheus.
P2026-154-Java Developer Architect
Senior Java developer/architect to evolve a proprietary client-server trading platform, optimizing Java stack, scaling real-time systems, and fixing bugs across desktop and server modules.
Senior Java Developer / Architect
Senior Java Developer/Architect builds and optimizes a high-performance Java-based client-server platform for financial markets, using Java 8/21, RMI, TCP/IP sockets, Swing/AWT, Oracle, and FIX/SBE protocols.
AI Architect, Finance
Design and build AI-driven finance systems—agentic automation for FP&A, forecasting models, and responsible AI governance—to modernize financial planning and reporting.
AI Architect, Finance
Design and build AI-driven finance systems—agentic workflows, ML forecasting models, and automation—partnering with FP&A, Accounting, and Treasury to deliver production-grade solutions that improve planning and reporting.
Software Architect
Design and evolve scalable, multi-tenant SaaS architectures for fintech and AI-enabled products, guiding teams through complex trade-offs and legacy constraints.
Software Architect - Containers / Virtualisation
Architect and evolve LXD (Go/C) and MicroCloud, making container/virtual-machine clusters trivial to deploy and manage across Ubuntu and other Linux platforms.
Senior Customer Solutions Architect
Design and implement cloud-security solutions for enterprise customers, integrating Sysdig’s runtime insights and open-source Falco with their cloud environments.
Integration Architect - Senior Consultant
Designs modern, distributed integration architectures for large enterprises, modernizing legacy systems with APIs, event-driven patterns, and cloud-native iPaaS platforms.