Solutions Architect (Data & AI)

Location: Israel, in the Tel Aviv region and within a commutable distance for a hybrid schedule.

Company

Databricks is a Data and AI company providing a unified platform for data engineering, machine learning, analytics, applications, and agents.

What you will do

• Own end-to-end technical strategy for customer accounts, from discovery through production deployment and consumption growth.
• Lead architecture discussions and design scalable, production-grade solutions across data engineering, ML/AI, streaming, and real-time analytics.
• Advise customer architects, engineering leads, and Directors on technical strategy and business value.
• Drive competitive technical wins through custom-built solutions and Databricks platform differentiation.
• Develop a technical specialization in an area such as streaming, ML/AI, data governance, or migrations.
• Coordinate DSAs, SSAs, and partners while providing structured feedback on customer requirements and product gaps.

Requirements

• 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
• Fluency in both Hebrew and English.
• Strong coding proficiency in Python and SQL, including live coding, debugging, and solution building.
• Deep expertise in distributed data systems, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
• Proficiency with the Databricks Platform or the ability to become proficient rapidly, with a developing specialization in one technical area.
• Experience leading architecture discussions with senior technical stakeholders, including whiteboarding, design reviews, and trade-off analysis.
• Production deployment experience on AWS, Azure, or GCP, including infrastructure, security, and governance considerations.
• Experience driving platform adoption and consumption growth within accounts.
• Excellent communication skills for translating complex architectures into business value for technical and executive audiences.
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.

Nice to have

• Databricks certifications in Data Engineering, ML, or Platform.
• Experience with Snowflake, AWS native services, or Azure Synapse.
• Background in a data/AI company or cloud provider.
• Industry expertise in areas such as Financial Services, Healthcare, Retail, or Media.

Culture & Benefits

• Comprehensive benefits and perks are offered, with details varying by region.
• Inclusive hiring practices support equal employment opportunity and a diverse workplace.
• Databricks operates globally with more than 30 offices and serves over 20,000 organizations.

Hiring process

• Recruiter Screen followed by Hiring Manager Screen.
• Design and Architecture Interview, Live Coding Assessment, and Build, Demo, Pitch! Presentation.
• Reference Check.