Solutions Architect Greenfield Enterprise France

databricks·Parissenior

En corto

→Arquitecto técnico para clientes nuevos en Francia, impulsando estrategias de datos y IA en entornos cloud.
→Diseñas soluciones empresariales escalables en Databricks, liderando discusiones técnicas con altos directivos.
→Destaca por desarrollar una especialización técnica reconocida (archetype) dentro del equipo.

Fluency in French and English

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1. ¿Cómo diseñarías un sistema de streaming en Databricks para procesar datos de eventos en tiempo real con alta disponibilidad?

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💵 USD · Remote · No visa

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¿Qué piden?

✓6+ años en arquitectura de soluciones, ingeniería de datos o rol técnico líder
✓Dominio de Python y SQL con capacidad de programar y depurar en vivo
✓Experiencia en arquitecturas distribuidas: pipelines, streaming, lakehouse, plataformas cloud-native
✓Conocimiento de Databricks o capacidad demostrable de dominarlo rápidamente
✓Experiencia en despliegues productivos en AWS, Azure o GCP con enfoque en seguridad y gobernanza
✓Habilidades probadas para impulsar la adopción y crecimiento del uso de plataformas en clientes

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Databricks PlatformPythonSQLAWSAzureGCPLakehouseStreamingData EngineeringML/AI

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Solutions Architect Greenfield Enterprise France The role is based in Paris or within commuting distance of the office. The Role As a Solutions Architect, you will lead the technical strategy for your Greenfield (New Logo) customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. The Impact You Will Have • Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth • Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics • Serve as a trusted technical advisor to customer architects, engineering leads, and Directors • Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions • Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain • Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs • Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For • 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role • Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills • Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms • Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations) • Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis • Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations • Track record of driving platform adoption and consumption growth within accounts • Excellent communication skills — able to translate complex architectures into business value for both technical and executive audiences • Fluency in French and English • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience) Nice to Have: • Databricks certifications (Data Engineer, ML, Platform) • Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position against • Background in a data/AI company or cloud provider • Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks

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