Senior Data & AI Solutions Architect (FDE)

Cacheflow

Paris

Sur place

EUR 90 000 - 130 000

Plein temps

14 jours+

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Résumé du poste

Databricks is seeking a Forward Deployed Engineer in Paris to lead production-grade data and AI solutions using the Databricks platform. You will own architecture, design decisions and end-to-end delivery across data engineering, AI, and application development in collaboration with engineering, product, and customer teams.

The role emphasizes customer empathy, hands-on delivery, and capability to scale reusable assets while traveling up to 20% of the time.

Qualifications

Extensive experience in data engineering, data platforms & analytics, or software engineering.
Comfortable writing code in Python, Scala, JavaScript/TypeScript, and modern frameworks.
Working knowledge of two or more Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals.
Familiarity with CI/CD for production deployments.
Working knowledge of MLOps, ML/AI models and AI APIs.
Design and deployment of performant production end-to-end data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces.
Experience with technical project delivery — managing scope, timelines and measurable outcomes.
Documentation and white-boarding skills.
Experience with enterprise clients and managing conflicts across a broad stakeholder range.
Willingness to travel to customers 20% of the time.
Databricks Certification

Responsabilités

Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration.
Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications.
Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.