Solution Architect - Databricks ME

Job Description – Solutions Architect (RSA) - DataBricks

Location: Middle East (Onsite Israel)

Experience: 8–12 Years

Job Summary

We are seeking an experienced Solutions Architect (RSA) to work directly with strategic enterprise customers and design, develop, and deliver scalable fullstack applications and AI-driven solutions on the Databricks Data Intelligence Platform.

This is a highly hands-on, customer-facing role requiring strong expertise in software engineering, data engineering, AI/ML integration, and cloud-native application development.

The ideal candidate will combine deep technical expertise with strong stakeholder engagement skills to build enterprise-grade solutions that drive measurable business outcomes.

Mandatory Skills

• Strong experience in:
• Fullstack Application Development
• Software Architecture & System Design
• Databricks Platform
• Data Engineering & AI Integration
• Proficiency in:
• Python
• SQL
• Java / Scala
• JavaScript / TypeScript
• Hands-on experience building:
• Backend APIs
• Frontend applications
• Enterprise integrations
• Experience integrating AI/ML solutions using:
• OpenAI
• Anthropic
• Gemini APIs
• Experience delivering:
• Production-grade enterprise applications
• AI-enabled solutions
• Cloud-native architectures
• Strong stakeholder management and customer-facing experience
  

Key Responsibilities

Solution Architecture

• Lead architecture and design decisions for enterprise applications and AI-driven solutions
• Design secure, scalable, and high-performance systems aligned with customer requirements and best practices
  
  

Application Engineering

• Develop fullstack applications including:
• Backend services
• Frontend interfaces
• API integrations
• Build scalable enterprise applications leveraging Databricks and cloud technologies
  

Data & AI Solution Delivery

• Design and implement:
• Data pipelines
• Data transformations
• AI/ML integrations
• Integrate LLMs and AI APIs into enterprise applications
  

Customer Engagement

• Work directly with customer teams and stakeholders
• Understand business challenges and translate them into technical solutions
• Present architecture, solution design, and technical recommendations to leadership teams
  
  

Cross-Functional Collaboration

• Collaborate with:
• Sales teams
• Product teams
• Field Engineering
• Ensure smooth delivery from pre-sales through implementation and deployment
  

Reusable Assets & Innovation

• Build reusable frameworks, accelerators, and solution templates
• Contribute to best practices and influence future solution patterns
  
  

Qualification

• Bachelor's or Master's degree in:
• Computer Science
• Software Engineering
• Data Engineering
• Related field
  

Technical Skills

Programming Languages

• Python
• SQL
• Java / Scala
• JavaScript / TypeScript
  
  

Platforms & Technologies

• Databricks
• Cloud Platforms (AWS / Azure / GCP)
• REST APIs
• Microservices Architecture
  
  

AI & Data Engineering

• AI/ML model integration
• OpenAI / Anthropic / Gemini APIs
• ETL / ELT Pipelines
• Data Engineering & Analytics
  
  

Frontend / Backend

• Modern frontend frameworks
• Backend service development
• Systems integration
  
  

Soft Skills

• Strong customer-facing communication skills
• Excellent problem-solving and analytical thinking
• Ability to translate complex technical concepts into business outcomes
• Strong collaboration and leadership abilities
• Adaptability and continuous learning mindset
  
  

Good to Have

• Experience with:
• Generative AI applications
• MLOps & AI deployment frameworks
• DevOps / CI-CD pipelines
• Enterprise SaaS applications
• Exposure to:
• Solution consulting
• Pre-sales architecture discussions
• Multi-cloud enterprise environments
  

Work Experience

• 8–12 years of experience in:
• Software Engineering
• Solution Architecture
• Fullstack Development
• Enterprise Data & AI platforms
• Proven experience delivering customer-facing enterprise solutions
  

Compensation & Benefits

• Competitive salary and annual performance-based bonuses
• Comprehensive health and optional Parental insurance
• Optional retirement savings plans and tax savings plans
  
  

KRA (Key Result Areas)

• Successful delivery of enterprise AI and fullstack solutions
• Scalable and secure solution architecture implementation
• Strong customer satisfaction and adoption
• Development of reusable solution accelerators and frameworks
  
  

KPI (Key Performance Indicators)

• Successful deployment of customer solutions
• Customer satisfaction and business impact metrics
• Application performance and scalability improvements
• Reduction in delivery timelines through reusable assets
• Stakeholder and executive feedback scores
  
  

Contact: [Confidential Information]