Solution Architect - Databricks ME

BigTapp Analytics

Dubai

On-site

AED 300,000 - 460,000

Full time

7 days ago

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Job summary

BigTapp Analytics seeks an experienced Solutions Architect (RSA) to design, develop and deliver scalable fullstack applications and AI‑driven solutions on the Databricks platform. This role is highly hands‑on and customer‑facing, requiring deep software and data engineering expertise across cloud environments.

The ideal candidate will integrate AI/ML capabilities using OpenAI, Anthropic, and Gemini APIs, drive architecture decisions, and collaborate with sales, product, and field engineering

Qualifications

Experience delivering production-grade enterprise applications.
Hands-on in backend and frontend development and API integrations.
Strong experience with Databricks platform.
Experience integrating AI/ML using OpenAI, Anthropic, Gemini APIs.
Excellent stakeholder management and customer-facing skills.

Responsibilities

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.
Develop fullstack applications including backend services, frontend interfaces, and API integrations.
Build scalable enterprise applications leveraging Databricks and cloud technologies.
Design and implement data pipelines, data transformations, and AI/ML integrations.

Skills

Fullstack Dev

Architecture & Design

Databricks

Data Eng & AI

Python

SQL

Java/Scala

JS/TS

Backend APIs

Frontend UIs

AI/ML integration

Education

Computer Science / Software Engineering / Data Engineering

Tools

Databricks

Cloud Platforms (AWS/Azure/GCP)

REST APIs

Microservices

Job description

Data Engineering & AI Integration
Backend APIs
Field Engineering
Data Engineering

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