Senior Data Architect — Snowflake & AI (all genders

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.

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

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)

• 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 Dev Ops standards for data platform deployments.

• +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…