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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Architect - Snowflake & AI - **Company:** Valtech - **Location:** Paris, France - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, ARM Architecture, Microsoft Azure, Cloud Computing, Continuous Integration, Data as a Services, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Transformation, Data Vault Modeling, Data Warehousing, DevOps, Dimensional Modeling, Performance Tuning, SQL Databases, Data Streaming, Datadog, Scripting, Google Cloud, Power Platform Integration, Large Language Models, Snowflake, Prompt Engineering, Data Strategy, Collibra, Star Schema, Real Time Data, Apache Kafka, Data Management, Data Pipelines - **Published:** July 3, 2026 - **Apply:** https://fr.indeed.com/viewjob?jk=5a7a77a4513c6858 ## About the Role As a Senior Data Architect - Snowflake & AI (all genders), you are passionate about experience innovation and eager to push the boundaries of what's possible. You bring +10 years of experience, a growth mindset and a drive to make a lasting impact., * A curious problem solver who challenges the status quo * A collaborator who values teamwork and knowledge-sharing * Excited by the intersection of technology, creativity and data * Experienced in Agile methodologies and consulting (a plus), * +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., * 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. Preferred certifications * Snowflake SnowPro Core + Advanced/Architect (strongly preferred). * dbt Analytics Engineering certification (a plus). ## Description As part of our Data & AI practice, you will work with major enterprise clients and global strategic accounts to help them transform and future-proof their data platforms - bringing both deep Snowflake mastery and strategic consulting expertise. You will act as lead architect and trusted advisor, guiding clients from data strategy through hands-on implementation, while championing AI-augmented engineering practices through Snowflake Cortex., * 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. Technical Architecture & Engineering * 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., * You think like a consultant first, an engineer second - you shape solutions, not just build them. * You have delivered transformation programs leaving behind a playbook, a trained team, and measurable outcomes. * You are energised by working across multiple client environments and bringing cross-industry patterns to each engagement. * You can challenge a client's thinking constructively while maintaining trust and momentum. * You have a genuine curiosity for AI, generative models, and the future of data engineering. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Debugging in the Dark](https://www.wearedevelopers.com/videos/1658-debugging-in-the-dark) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Software Engineering Social Connection: Yubo’s lean approach to scaling an 80M-user infrastructure](https://www.wearedevelopers.com/videos/1583-software-engineering-social-connection-yubo-s-lean-approach-to-scaling-an-80m-user-infrastructure) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Best Companies to Work For in Paris: Top 25 Companies in 2023 ](https://www.wearedevelopers.com/magazine/190-best-companies-to-work-for-in-paris-top-25-companies-in-2023) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)