Lead Architect - Marketing

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. 

We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.  

In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. 

 

You will be:

• leading the architecture and strategic design of enterprise marketing, customer care, and sales solutions,
• designing scalable, integrated solutions that connect marketing, customer engagement, consent management, and sales processes,
• defining architecture standards and participating in Design Authority and Architecture Review Board activities,
• designing consent management frameworks that ensure regulatory compliance while enhancing customer trust and engagement,
• creating customer identity, engagement, and segmentation strategies to optimize the customer journey across all touchpoints,
• architecting notification and communication platforms supporting email, SMS, push, and in-app messaging,
• designing and evolving enterprise marketing automation solutions to improve campaign effectiveness and operational efficiency,
• collaborating with sales teams to build integrated lead management and CRM solutions that support the full customer lifecycle,
• working closely with cross-functional business and technology teams to align architecture with business objectives,
• identifying emerging technologies and industry best practices to deliver innovative, scalable marketing solutions.

Your profile:

• proven experience as a Lead, Enterprise, or Solution Architect delivering enterprise-scale marketing technology solutions,
• strong knowledge of enterprise architecture frameworks and governance practices (TOGAF, ArchiMate, C4 Model, ADRs, Design Authority),
• hands-on experience with enterprise marketing automation platforms such as Salesforce Marketing Cloud, Adobe Campaign, Braze, or Marketo,
• solid understanding of multi-channel campaign architecture, including email, SMS, push notifications, in-app messaging, segmentation, suppression, and A/B testing,
• experience designing Consent Management Platform (CMP) architectures with strong knowledge of GDPR and ePrivacy regulations,
• experience with Customer Data Platforms (CDPs), customer identity management, customer data modelling, and audience segmentation,
• strong knowledge of Salesforce CRM architecture, including Sales Cloud and API integrations,
• hands-on experience with event-driven architecture and Apache Kafka,
• solid understanding of security by design principles, including PII protection, access control, audit logging, and data masking,
• excellent stakeholder management and communication skills, with the ability to translate business needs into scalable architecture solutions,
• fluent English and French language skills (written and spoken).

Hybrid work from Paris is required.

Nice to have:

• experience with enterprise architecture modelling tools such as Lucidchart, Archi, Structurizr, Sparx EA, or draw.io,
• knowledge of Customer Identity and Access Management (CIAM) solutions such as Auth0, Okta, or Keycloak,
• experience designing customer journey and lifecycle data models,
• knowledge of lead management and Revenue Operations processes,
• experience with event streaming design patterns and real-time data processing,
• familiarity with Databricks, Data Lakehouse architectures, Apache Spark, or dbt,
• experience with marketing analytics, attribution models, and platforms such as GA4, Amplitude, or Mixpanel,
• knowledge of API security, OAuth 2.0, JWT, API gateways, and cloud platforms (AWS, Azure, or GCP),
• experience with AI-driven personalization and recommendation engines,
• familiarity with regional privacy regulations such as CCPA, LGPD, PDPA, or PIPL,
• experience with in-app messaging platforms, Salesforce CPQ, or stream processing frameworks such as Apache Flink, Spark Streaming, or Kafka Streams.

 

Recruitment Process:

CV review – HR call – Interview – Client Interview – Decision