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Job Overview

As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects.

Key points

  1. Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth.

  2. Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics.

  3. Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions.

  4. Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain.

  5. Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills.

  6. Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.

  7. 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…

  8. Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis.

Languages

English requiredSpanish required

Skills

DatabricksMachine LearningAWSAzureInterviewingPythonSQLGoogle Cloud

Experience: Mid-level · 6+ years

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