AI Cloud Data Architect - Paris, France

Neev; Paris; On-site; EUR 90,000 - 130,000; Full time

Job summary

Neev is seeking an experienced AI Cloud Data Architect in Paris to design, implement, and govern enterprise-scale data and AI platforms on cloud environments. You will shape data strategy, governance, and compliance while enabling Generative AI use cases.

You will lead architecture decisions, collaborate with data scientists, engineers, and product teams, and drive secure, scalable deployments across Azure, AWS, or Google Cloud Platform.

Qualifications

• Proven experience in designing enterprise cloud data architectures.
• Strong expertise across Azure, AWS, and Google Cloud.
• Hands-on with data lakes, lakehouses and data warehouses.
• Experience with AI/ML platforms and Generative AI technologies.
• Knowledge of security, governance, and regulatory compliance.

Responsibilities

• Design and implement enterprise data architectures on Azure, AWS, or GCP.
• Define end-to-end data strategy including ingestion, storage, transformation, governance, and consumption.
• Architect AI/ML and Generative AI platforms using cloud-native services.
• Design scalable data lakes, lakehouses, data warehouses, and real-time processing solutions.
• Establish data governance, metadata management, security, privacy, and compliance frameworks.
• Collaborate with stakeholders to deliver AI-driven solutions.
• Define data standards, architecture principles, and best practices.
• Evaluate and adopt emerging technologies related to AI, cloud, and analytics.
• Lead architecture reviews and ensure alignment with enterprise standards.
• Support MLOps, DataOps, and AI governance frameworks.

Skills

Cloud Architecture

Data Engineering

AI Platforms

Azure

AWS

Google Cloud Platform

Data Lakes

Lakehouses

Data Warehouses

Databricks

Snowflake

AWS Glue

BigQuery

LLMs

RAG architectures

Vector Databases

AI Agents

Python

SQL

Distributed data processing

Data security

Governance

Regulatory compliance

Stakeholder management

Leadership

Education

TOGAF certification

Azure Architect certification

AWS Architect certification

Google Cloud certifications

Tools

Databricks

Snowflake

AWS Glue

BigQuery

Kubernetes

Docker

MLflow

Kubeflow

Azure ML

Vertex AI

Job description

AI Cloud Data Architect - Paris, France :

We are looking for an experienced AI Cloud Data Architect to design, implement, and govern enterprise-scale data and AI platforms on cloud environments. The ideal candidate will have strong expertise in cloud-native data architectures, AI/ML platforms, data governance, and modern analytics ecosystems. This role will drive the design of scalable, secure, and resilient solutions that enable advanced analytics, Generative AI, and machine learning use cases.

Key Responsibilities

• Design and implement enterprise data architectures on Azure, AWS, or GCP.
• Define end-to-end data strategy, including ingestion, storage, transformation, governance, and consumption.
• Architect AI/ML and Generative AI platforms using cloud-native services.
• Design scalable data lakes, lakehouses, data warehouses, and real-time data processing solutions.
• Establish data governance, metadata management, security, privacy, and compliance frameworks.
• Collaborate with business stakeholders, data scientists, engineers, and product teams to deliver AI-driven solutions.
• Define data standards, architecture principles, and best practices.
• Evaluate and recommend emerging technologies related to AI, cloud, and analytics.
• Lead architecture reviews and ensure alignment with enterprise architecture standards.
• Support implementation of MLOps, DataOps, and AI governance frameworks.

Required Skills

• Strong experience in Cloud Architecture, Data Engineering, and AI Platforms.
• Expertise in Azure, AWS, or Google Cloud Platform.
• Data Lakes
• Lakehouses
• Data Warehouses
• Hands-on experience with:
• Databricks
• Snowflake
• AWS Glue
• BigQuery
• Strong knowledge of AI/ML ecosystems and Generative AI technologies.
• Experience with Large Language Models (LLMs), RAG architectures, Vector Databases, and AI Agents.
• Proficiency in Python, SQL, and distributed data processing frameworks.
• Knowledge of data security, governance, and regulatory compliance.
• Excellent stakeholder management and leadership skills.

Preferred Skills

• Experience implementing enterprise GenAI solutions.
• Knowledge of Azure OpenAI, Amazon Bedrock, Vertex AI, or similar services.
• Experience with Kubernetes, Docker, and microservices architecture.
• Familiarity with MLOps tools such as MLflow, Kubeflow, or Azure ML.
• Experience in Banking, Financial Services, or highly regulated industries.
• TOGAF, Azure Architect, AWS Architect, or Google Cloud certifications.