10/17/2026 updated
100 % available
Tech Lead - Google Cloud Data Architect
Milano, Italy
Only remote
Bachelor of Science in Information TechnologyGoogle Cloud Platform Architecture
Expertise in designing, implementing, and optimizing data architectures and solutions on Google Cloud Platform (GCP), including BigQuery, Dataflow, Dataproc, Cloud SQL, Cloud Spanner, Cloud Bigtable, DataStream CDC, Cloud Firebase/DataStore, Cloud Run, Pub/Sub, Workflow, and Apigee.
Data Engineering & ETL/ELT Pipelines
Engineering of data pipelines and ETL/ELT processes to ingest and transform large datasets for analytics, using tools such as Apache Airflow, Apache Beam, Apache Hadoop, and Apache Spark, with extensive experience in BigQuery for complex SQL queries and data warehouse optimization.
AI & Machine Learning Integration
Specialization in Large Language Models (LLMs), model optimization and fine-tuning, MCP protocol, creating MCP servers to connect clients such as Claude Code, text extraction and classification, and prompt engineering, including adoption of OpenAI LLM and Gemini for document classification.
DevOps & Infrastructure as Code
Management and monitoring of cloud infrastructure using Kubernetes, Docker and containerization, Terraform, Pulumi, Jenkins, CI/CD pipelines, and Git version control.
Programming Languages
Proficiency in Java, SQL, Python, JavaScript, NodeJS, and PHP for developing cloud-based and enterprise web applications.
Data Visualization
Creation of data visualizations and business intelligence dashboards using Looker and Looker Studio.
Collaboration & Workspace Platforms
Deployment and administration of Google Workspace, Google Cloud Search, Google Drive, O365, OneDrive, SharePoint, and MS Teams for enterprise collaboration and document management.
Microservices & API Integration
Design and implementation of microservices architectures and RESTful API integrations following Agile/Scrum methodologies.
Cloud Migration & Delivery Management
Leadership of cross-functional teams on enterprise migration projects from on-premises systems to GCP, driving cost optimization, risk mitigation, and successful go-lives in alignment with project timelines.
Expertise in designing, implementing, and optimizing data architectures and solutions on Google Cloud Platform (GCP), including BigQuery, Dataflow, Dataproc, Cloud SQL, Cloud Spanner, Cloud Bigtable, DataStream CDC, Cloud Firebase/DataStore, Cloud Run, Pub/Sub, Workflow, and Apigee.
Data Engineering & ETL/ELT Pipelines
Engineering of data pipelines and ETL/ELT processes to ingest and transform large datasets for analytics, using tools such as Apache Airflow, Apache Beam, Apache Hadoop, and Apache Spark, with extensive experience in BigQuery for complex SQL queries and data warehouse optimization.
AI & Machine Learning Integration
Specialization in Large Language Models (LLMs), model optimization and fine-tuning, MCP protocol, creating MCP servers to connect clients such as Claude Code, text extraction and classification, and prompt engineering, including adoption of OpenAI LLM and Gemini for document classification.
DevOps & Infrastructure as Code
Management and monitoring of cloud infrastructure using Kubernetes, Docker and containerization, Terraform, Pulumi, Jenkins, CI/CD pipelines, and Git version control.
Programming Languages
Proficiency in Java, SQL, Python, JavaScript, NodeJS, and PHP for developing cloud-based and enterprise web applications.
Data Visualization
Creation of data visualizations and business intelligence dashboards using Looker and Looker Studio.
Collaboration & Workspace Platforms
Deployment and administration of Google Workspace, Google Cloud Search, Google Drive, O365, OneDrive, SharePoint, and MS Teams for enterprise collaboration and document management.
Microservices & API Integration
Design and implementation of microservices architectures and RESTful API integrations following Agile/Scrum methodologies.
Cloud Migration & Delivery Management
Leadership of cross-functional teams on enterprise migration projects from on-premises systems to GCP, driving cost optimization, risk mitigation, and successful go-lives in alignment with project timelines.
Experience
Professional experience10+ years
Freelancer since2015
Languages
EnglishFluentItalianNative speakerAlbanianNative speaker
Project history
Delivers cloud-based solutions integrating the AODocs product with customized options for clients in industries such as Manufacturing, Retail, Insurance, and Education. Led migration and adoption projects for AODocs as a document management platform. Designed complex architectures for diverse customer document management needs. Adopted OpenAI LLM and Gemini for data extraction and document classification. Created BigQuery data mart layers for BI tools. Accelerated implementation with AI tools such as Claude Code using an MCP server. Provided advisory and consulting on migration strategy from on-prem document management to AODocs cloud-based.
Cloud Data Architect on Google Cloud Platform, creating conceptual, logical, and physical designs for cloud-based solutions. Led a team of 15 consultants, saving up to 20% in OpEx. Led data migration projects from on-premises to GCP. Managed the Move2Cloud project for application and CRM data migration from Oracle to BigQuery. Engineered data pipelines and ETL processes. Worked extensively with BigQuery, Apache Airflow, and CI/CD pipelines. Managed Google Workspace administration, Google Cloud Search projects for banking customers, and Business Intelligence solutions for retail customers.
Developed deployment strategy for migrating 160K Fiat Chrysler Automotive employees from Exchange to G-Suite using Appbridge. Designed and deployed web applications on Google Cloud Platform using Java, AppEngine, Cloud SQL, Cloud Storage, Compute Engine, and AODocs integration. Analyzed and designed business workflows through RunMyProcess on Amazon Web Services. Provided cloud adoption support and best practices to customers.