Senior Data Architect - Snowflake & AI
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+24 more
Job 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 clientâs thinking constructively while maintaining trust and momentum.
- You have a genuine curiosity for AI, generative models, and the future of data engineering.
Requirements
As a Senior Data Architect - Snowflake & AI (all genders), you are passionate about experience innovation and eager to push the boundaries of whatâs 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).
Benefits & conditions
Beyond a competitive compensation package, 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
About the company
Why Valtech? Weâre advisors, visionaries, creative and techies. We embrace all things digital. We talk to each other. We have fun. We love our clients. Weâre looking ahead * We are global
Senior Data Architect - Snowflake & AI (all genders)
Why Valtech? Weâre the experience innovation company - a trusted partner to the worldâs most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.
- Lead high-impact data architecture mandates for some of the worldâs 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 Valtechâs global practices.
- Shape how our clientsâ data teams operate - not just deliver a project but build lasting capability.
- Develop your consulting and technical expertise with full support from Valtechâs Academy and community of practice.
The opportunity
At Valtech, youâll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether youâre pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.
We are proud of:
- The work we do and the innovation we drive
- Our values of share, care and dare
- A workplace culture that fosters creativity, diversity and autonomy
- Our borderless, global framework, which enables seamless collaboration, Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.
At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including LâOrĂŠal, Mars, Audi, P&G, Volkswagen Dolby, and more.
At Valtech, we donât just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.
Are you ready to create whatâs next? Join us. As per the AGG (General Equal Treatment Act) in Germany and equivalent in France, jobs must be advertised in a gender-neutral manner. We use the statement (all genders) to make it clear that this position is open to all genders in these countries, even if the job title itself can be translated or interpreted as âmasculineâ in the French or German language.
You must create an Indeed account before continuing to the company website to apply
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on fr.indeed.comGood distractions
Talks and stories from around this role â technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production
Making Data Warehouses Fast: A Developerâs Story
Best Companies to Work For in Paris: Top 25 Companies in 2023Â
Dev Digest 120 - Apple and peers