Senior Data Architect (Snowflake & AI)

TL;DR

Senior Data Architect (Snowflake & AI): Designing and implementing enterprise-grade data architectures for global brands using Snowflake and AI-augmented engineering with an accent on Snowflake Cortex and LLM-powered pipelines. Focus on building scalable data platforms, defining modeling standards, and providing strategic consulting to drive organizational change.

Location: Permanent position based in Paris, France. Hybrid and remote options are available (country-dependent).

Company

hirify.global is an experience innovation company that helps world-recognized brands transform through the intersection of data, AI, creativity, and technology.

What you will do

• Lead high-impact data architecture engagements for major enterprise accounts in luxury, retail, and B2B sectors.
• Design and implement enterprise-grade Snowflake architectures, including data lakehouse and data mesh patterns.
• Lead the adoption of Snowflake Cortex for AI-native use cases, such as intelligent data agents and LLM-powered pipelines.
• Architect scalable ELT pipelines using dbt, Fivetran, and other orchestration tools.
• Act as a trusted advisor, facilitating workshops and co-creating transformation roadmaps with technical and business stakeholders.
• Establish CI/CD practices and DevOps standards for data platform deployments.

Requirements

• +10 years of experience in data engineering or architecture, with at least 5 years in client-facing consulting.
• Expert-level mastery of Snowflake, including performance tuning, security, and Cortex AI features.
• Strong experience with dbt, Fivetran/Stitch, Airflow, or equivalent tools.
• English and French: C1 level required.
• Proven ability to lead complex data transformation programs from design through delivery.
• Deep knowledge of modern data modeling techniques (dimensional modeling, data vault, star schema).

Nice to have

• Hands-on experience with agentic AI frameworks and prompt engineering.
• Knowledge of reverse ETL platforms (Hightouch, Census) and CDP architectures.
• Familiarity with streaming data platforms such as Kafka, Kinesis, or Pub/Sub.
• Experience with major cloud platforms (GCP, AWS, Azure).
• Snowflake SnowPro Core and Advanced/Architect certifications.

Culture & Benefits

• Flexibility with remote and hybrid work options.
• International mobility and professional development via hirify.global's Academy.
• Access to cutting-edge tools, training, and a global network of AI and data experts.
• Values-driven culture emphasizing diversity, autonomy, and creativity.