Databricks Solutions Architect – AI, Data & Cloud

BigTapp Analytics; Dubai; On-site; AED 300,000 - 460,000; Full time

Benefits offered by this job

Comprehensive health insurance

Parental insurance (optional)

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

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