Solutions Architect (Portuguese Speaking) - Madrid or Paris

About the role

Databricks is looking for a Solutions Architect fluent in Portuguese to work in Madrid or Paris (or within commuting distance). You will own the technical strategy for your customers, lead architecture discussions and act as a trusted advisor to customer technical leads and architects, positioning Databricks as the foundation of their data and AI strategy.

Key responsibilities

• Own the end-to-end technical strategy for accounts, from discovery through production deployment and consumption growth
• Lead complex architecture discussions covering data engineering, ML/AI and real-time analytics
• Serve as a trusted technical advisor to customer architects, engineering leads and directors
• Win competitive scenarios by showing Databricks' differentiation through custom-built solutions
• Develop a technical specialization (archetype) and become a go-to resource for your team in that domain
• Coordinate DSAs, SSAs and partners to deliver comprehensive solutions
• Influence product direction with structured feedback on customer requirements and competitive gaps

Required profile

• 6+ years in solutions architecture, data engineering, technical pre-sales or a senior hands-on technical role
• Bachelor's or Master's degree in Computer Science, Engineering or a quantitative discipline (or equivalent experience)
• Fluency in English and Portuguese
• Proven track record of driving platform adoption and consumption growth

Required skills

• Strong coding in Python and SQL, with live coding, debugging and solution-building
• Expertise in distributed data systems: scalable pipelines, streaming architectures, lakehouse patterns and cloud-native data platforms
• Proficiency on the Databricks platform (or rapid ability to reach it), with a developing specialization (e.g. streaming, ML/AI, data governance, migrations)
• Production deployments on AWS, Azure or GCP, including infrastructure, security and governance
• Leading architecture discussions with senior stakeholders, including whiteboarding, design reviews and trade-off analysis

Nice to have: Databricks certifications (Data Engineer, ML, Platform); experience with Snowflake, AWS native services or Azure Synapse; background in a data/AI company or cloud provider; industry domain expertise (financial services, healthcare, retail, media).

The interview process runs from recruiter screen to reference check, including a live coding assessment and a presentation.