Senior Data Architect — Snowflake & AI
On-siteParis, Île-de-France, France
Job Summary
Lead high-impact data architecture engagements as the primary client-facing consultant, defining strategies aligned with business objectives and facilitating workshops to co-create transformation roadmaps. Design and implement enterprise-grade Snowflake data architectures, including data lakehouse patterns, while driving the adoption of Snowflake Cortex for AI-native use cases like LLM-powered pipelines and intelligent data agents. Coach client data engineers on modern practices and govern data quality, security, and cost management across teams. Serve as the escalation point for complex architectural decisions, ensuring alignment between business, IT, and data stakeholders. This permanent role in Paris requires +10 years of data architecture experience with expert Snowflake mastery and C1 French/English proficiency.
Required Qualifications
- +10 years of experience in data engineering or data architecture
- at least 5 years in a client-facing consulting or advisory role
- Expert-level mastery of Snowflake: architecture, performance tuning, access controls, security, and Cortex AI features
- Proven ability to lead complex data transformation programs from design through delivery
- Strong experience with dbt, Fivetran/Stitch, Airflow, or equivalent orchestration tools
- Deep knowledge of data modeling techniques and modern data stack best practices
- Excellent communication and facilitation skills in French and English (C1)
- Demonstrated ability to build trust with clients and drive organisational change
Desired Qualifications
- Experienced in Agile methodologies and consulting (a plus)
- Hands-on experience with Snowflake Cortex AI features: LLM Functions, Cortex Analyst, Cortex Agents
- Knowledge of agentic AI frameworks, prompt engineering, and AI-assisted data engineering workflows
- Experience with reverse ETL platforms (Hightouch, Census) and CDP architectures
- Familiarity with streaming data platforms (Kafka, Kinesis, Pub/Sub) and real-time data patterns
- Cloud platforms experience (GCP, AWS, Azure) and their native data services
- Knowledge of data catalog and governance tools (Alation, Collibra, DataHub)
- SQL fluency and Python scripting proficiency
- Snowflake SnowPro Core + Advanced/Architect (strongly preferred)
- dbt Analytics Engineering certification (a plus)
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