GenAI & Cloud Data Architect for Enterprise Platforms

Photon; Île-de-France; On-site; EUR 110,000 - 160,000; Full time

Job summary

Photon is seeking an experienced AI Cloud Data Architect to design, implement and govern enterprise-scale data and AI platforms on cloud environments. The role focuses on cloud-native data architectures, AI/ML platforms, data governance and modern analytics ecosystems.

You will design data lakes, lakehouses and warehouses, establish governance and security, work with data scientists and engineers, and drive MLOps, DataOps and AI governance across the portfolio.

Qualifications

• Extensive experience in cloud data architectures and AI platforms.
• Strong Python and SQL programming skills.
• Proven ability to design scalable data ecosystems.
• Hands-on experience with Databricks, Snowflake and BigQuery.
• Knowledge of data governance, security and regulatory compliance.
• Excellent stakeholder management and leadership capabilities.

Responsibilities

• Design and implement enterprise data architectures on cloud platforms.
• Define end-to-end data strategy including ingestion, storage and governance.
• Architect AI/ML and Generative AI platforms on cloud services.
• Design scalable data lakes, lakehouses and data warehouses.
• Establish data governance, metadata, security and compliance frameworks.
• Collaborate with stakeholders, data scientists and engineers to deliver AI solutions.
• Define data standards and architecture principles.
• Evaluate new AI/cloud technologies and best practices.
• Lead architecture reviews and ensure enterprise alignment.
• Support MLOps, DataOps and AI governance initiatives.

Tools

Databricks

Snowflake

Azure

AWS

Google Cloud

BigQuery

Data Lakes

Lakehouses

Data Warehouses

AWS Glue

Kubernetes

Docker

Python

SQL

MLflow

Kubeflow

Azure ML

LLMs

Vector DBs

Data Governance

Job description

Photon is seeking an experienced AI Cloud Data Architect to design, implement and govern enterprise-scale data and AI platforms on cloud environments. The role focuses on cloud-native data architectures, AI/ML platforms, data governance and modern analytics ecosystems.

You will design data lakes, lakehouses and warehouses, establish governance and security, work with data scientists and engineers, and drive MLOps, DataOps and AI governance across the portfolio.