Solutions Architect Israel

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.

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.

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…

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