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Senior Data Architect — Snowflake & AI

France, Paris Employment contract · Job Posted July 03, 2026
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Job Description

Lead high-impact data architecture mandates for some of the world's most recognised brands and major enterprise accounts — including luxury, retail, and global B2B leaders. Work at the forefront of AI-augmented data engineering, leveraging the latest Snowflake Cortex capabilities. Collaborate with a senior network of data, AI, and strategy experts across Valtech's global practices. Shape how our clients' data teams operate — not just deliver a project but build lasting capability. Develop your consulting and technical expertise with full support from Valtech's Academy and community of practice.

Job Responsibility

  • Lead data architecture engagements as the primary client-facing consultant, owning the relationship with technical and business stakeholders
  • Define and communicate data strategies aligned with client business objectives — from initial framing to executive presentation
  • Facilitate workshops, conduct discovery sessions, and co-create transformation roadmaps with client teams
  • Build and deliver structured consulting deliverables: architecture blueprints, AI-readiness assessments, governance playbooks, prompt libraries
  • Coach and upskill client data engineers on modern data practices, AI tooling, and Snowflake Cortex capabilities
  • Serve as the escalation point for complex architectural decisions, ensuring alignment across business, IT, and data teams
  • Design and implement enterprise-grade Snowflake data architectures (data warehouse, data lakehouse, data mesh patterns)
  • Lead the adoption of Snowflake Cortex for AI-native use cases: LLM-powered pipelines, intelligent data agents, and automated data workflows
  • Define data modeling standards (dimensional modeling, data vault, star schema) and govern their application across teams
  • Architect and oversee scalable ELT pipelines using dbt, Fivetran, and custom connectors
  • Drive data governance, access controls, security, and cost management best practices within Snowflake
  • Implement data quality frameworks and observability tooling (Monte Carlo, Datafold) with full lineage tracking
  • Establish CI/CD practices and DevOps standards for data platform deployments

Requirements

  • +10 years of experience in data engineering or data architecture, with 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) — able to present architecture choices to a CTO and explain them to a data engineer
  • Demonstrated ability to build trust with clients and drive organisational change

Nice to have

  • 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

What we offer

  • Flexibility, with remote and hybrid work options (country-dependent)
  • Career advancement, with international mobility and professional development programs
  • Learning and development, with access to cutting-edge tools, training and industry experts
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