Platform Engineer
Senior Data Architect — Snowflake & AI
Paris
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Senior Data Architect — Snowflake & AI (all genders)
Why Valtech? We’re the experience innovation company - a trusted partner to the world’s 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 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.
The opportunity
At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're 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
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.
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.
You Will Thrive In This Role If You Are
- 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)
Role Responsibilities
Consulting & Advisory
- 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.
Must Have Qualifications
To be considered for this role, you must meet the following essential qualifications:
- +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.
What makes you stand out
- 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.
Nice To Have Qualifications
- 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).
If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.
Commitment to reaching all kinds of people
We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.
The Benefits
This is a
permanent/freelance
position based in
Paris/France or Geneva/Switzerland.
Beyond a Competitive Compensation Package, We Offer
- Flexibility, with remote and hybrid work options (country-dependent) > 2/3 days on client site (Geneva)
- Career advancement, with international mobility and professional development programs
- Learning and development, with access to cutting-edge tools, training and industry experts
Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.
Your application process
Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps.
⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses ending in @valtech.com.
We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.
About Valtech
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 L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.
At Valtech, we don’t 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 what’s 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 "masculine" in the French or German language.
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