Senior SFCC Multicloud Backend Engineer

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 position based in Paris/France. 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 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.

As a Senior Product Manager for AI & Data Security at Datadog, you will define and deliver capabilities that help organizations securely adopt and scale AI across their applications and infrastructure. You’ll focus on building products that provide visibility into AI systems and data usage, assess security posture, and enable teams to manage risk across the AI lifecycle. This role sits at the intersection of security, AI, and cloud platforms, and is ideal for a PM who thrives in emerging, ambiguous problem spaces. You will work cross-functionally to shape how customers discover, understand, and secure AI-powered systems in production. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: * Own and drive the roadmap for AI & Data Security capabilities, including data security posture management and data loss prevention * Define how customers assess and manage the security posture of AI systems, including risks related to configuration, data exposure, and policy compliance * Partner with engineering and design to deliver end-to-end product capabilities, from concept through launch and iteration * Collaborate with security research teams to identify emerging risks in AI systems and translate them into actionable product features * Engage with customers to understand AI adoption patterns and validate solutions that enable secure, scalable operations * Define and track success metrics such as product adoption, usage, and impact on customer security workflows Who You Are: * 5+ years of product management experience building technical products in areas such as security, AI, data, cloud infrastructure, or developer platforms * Strong understanding of modern cloud environments, application architectures, and the fundamentals of generative AI systems * Interest in the security challenges introduced by AI and machine learning systems, particularly in production environments * Comfortable working closely with engineers and discussing technical design, tradeoffs, and implementation details * Experience engaging with customers and using their feedback to inform product decisions and prioritization * Ability to navigate ambiguity and translate complex problem spaces into clear product direction and execution Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: * Generous and competitive benefits package * New hire stock equity (RSUs) and employee stock purchase plan * Continuous career development and pathing opportunities * Employee-focused best in class onboarding * Internal mentor and cross-departmental buddy program * Friendly and inclusive workplace culture Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.   #LI-Hybrid ---------------------------------------------------------------------------------------------------------------------------------- About Datadog:  Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.  Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.  Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.