Data Architect – Customer Portfolio (Data Products & Lakehouse Architecture)Expleo

Acteur mondial de l'ingénierie, de la technologie et du conseil, Expleo accompagne des entreprises reconnues dans leur innovation afin d'accélérer leur réussite.

Nous nous appuyons sur plus de 40 ans d'expérience dans le développement de produits complexes, l'optimisation des processus de fabrication et la performance des systèmes d'information. Notre expérience sectorielle nous permet d'apporter à nos clients une expertise approfondie propre à stimuler l'innovation à chaque étape de la chaîne de valeur. Le groupe réalise un chiffre d'affaires annuel d'un milliard d'euros.

Expleo est un groupe responsable qui s'engage à placer l'éthique et la diversité au centre de ses pratiques, ainsi qu'à œuvrer pour une société plus durable et plus sûre.

Chez Expleo, épanouissez-vous au cœur d'une communauté de 19 000 collaborateurs hautement qualifiés qui fournissent des solutions à forte valeur ajoutée dans 30 pays.

Notre politique de recrutement est engagée en faveur de l'intégration et du maintien dans l'emploi des personnes en situation de handicap.

Location: Hybrid (Denver, CO or Minneapolis/St. Paul, MN)

Employment Type: Contract (High Likelihood of Extension)

Are you passionate about modern data architecture, data products, and cloud-based innovation? Trissential is hiring a Data Architect to join our client's Customer Portfolio team and play a critical role in large-scale customer data modernization initiatives. This is an opportunity to help shape the future of Customer 360, enterprise data platforms, AI enablement, and CIS modernization while working with cutting-edge technologies including AWS and Databricks.

If you enjoy solving complex data challenges, designing scalable architectures, and collaborating with high-performing teams across business and technology functions, this could be the perfect next step in your career.

What's In It For You?

• Work on highly visible enterprise transformation initiatives including Customer 360 and CIS Modernization
• Influence strategic architecture decisions across customer data, analytics, governance, and AI programs
• Leverage modern technologies including AWS, Databricks Lakehouse, Salesforce, SAP, and enterprise data platforms
• Partner with architects, engineers, governance teams, and industry-leading vendors to define future-state solutions
• Join a collaborative, architecture-driven environment that values innovation, continuous learning, and knowledge sharing
• Gain exposure to enterprise-scale data products that directly support customer experience and operational excellence

Your Role & Responsibilities

• Design and architect customer-domain data products that support enterprise business objectives
• Define scalable ingestion and integration patterns across Salesforce, billing platforms, operational systems, and third-party applications
• Architect end-to-end data pipelines into a Databricks Lakehouse environment hosted on AWS
• Establish and maintain system-of-record and system-of-truth standards across customer data ecosystems
• Evaluate and define data access strategies that balance operational performance, governance, scalability, and business needs
• Guide data migration, conversion, and integration architecture for CIS modernization initiatives
• Collaborate with solution architects, data engineers, business stakeholders, and vendors to deliver enterprise architecture solutions
• Ensure alignment with enterprise governance standards including data quality, lineage, metadata management, and compliance requirements
• Create and maintain architecture artifacts, diagrams, standards, and technical documentation
• Provide architectural leadership and oversight for modernization efforts, data movement strategies, and future-state data platforms
• Support innovation initiatives focused on AI readiness, advanced analytics, and data product ownership

Skills & Experience You Should Possess

• 8+ years of experience in Data Architecture, Enterprise Architecture, or related data-focused roles
• Strong AWS data architecture experience across cloud-native data services and integration platforms
• Hands-on expertise designing and implementing Databricks Lakehouse solutions
• Deep understanding of data product design principles and domain-driven architecture concepts
• Advanced data modeling experience including conceptual, logical, and physical data modeling techniques
• Experience defining and implementing modern data integration patterns including ELT, CDC, event-driven architectures, and streaming technologies
• Experience working across hybrid cloud, on-premises, and SaaS application ecosystems
• Strong understanding of enterprise data governance, metadata management, lineage, and data quality practices
• Experience creating architecture deliverables, technical roadmaps, and solution diagrams using architecture tooling
• Excellent communication, collaboration, stakeholder management, and documentation skills
• Self-motivated, team-oriented mindset with a humble, low-ego approach to leadership and problem solving

Bonus Points If You Have

• Utility industry experience including electric, gas, energy, or telecommunications organizations
• Experience with Salesforce data models, architecture, and integration patterns
• Experience with SAP, SAP IS-U, or related utility platforms
• AWS Aurora experience and expertise with relational database architectures
• Knowledge of enterprise data fabrics and data mesh concepts
• Experience supporting Customer 360 implementations
• Exposure to AI-assisted architecture, AI enablement initiatives, or AI agent development
• Experience working with major system integrators or enterprise software implementation partners