AI Data Architect: Scalable Lakehouse & Pipelines

Inception42; Abu Dhabi Emirate; On-site; AED 300,000 - 550,000; Full time

Job summary

Inception42 seeks a Data Architect to design and build data foundations for AI, analytics, and agentic products. You will own end-to-end data architectures from ingestion to APIs, ensuring scale, security, and maintainability in collaboration with data engineering, AI, platform, security, and product teams.

The role emphasizes hands-on work with SQL and Python, data modelling, and production-grade ELT pipelines, while embedding robust governance, RBAC/ABAC, and observability across data products.

Qualifications

• Hands-on fluency in SQL and Python with production ETL/ELT experience.
• Strong data modelling skills, including schema evolution and data contracts.
• Experience with retrieval-augmented generation, vector search, and knowledge systems.
• Enterprise governance: IAM, data access controls, lineage and observability.

Responsibilities

• Design end-to-end data architectures for ingestion, processing, storage, and serving.
• Define canonical models, data contracts, and schema evolution strategies.
• Architect lakehouse and distributed platforms with clear compute/storage separation.
• Build production-grade ETL/ELT pipelines in SQL and Python.
• Develop secure data services and APIs with REST/GraphQL and event-driven patterns.
• Implement data retrieval pipelines with indexing, embeddings, and citations.

Skills

SQL

Python

Data modeling

Data governance

API design

RBAC/ABAC

CI/CD

Debugging

Tools

Databricks

Delta Lake

Azure data services

Job description

Inception42 seeks a Data Architect to design and build data foundations for AI, analytics, and agentic products. You will own end-to-end data architectures from ingestion to APIs, ensuring scale, security, and maintainability in collaboration with data engineering, AI, platform, security, and product teams.

The role emphasizes hands-on work with SQL and Python, data modelling, and production-grade ELT pipelines, while embedding robust governance, RBAC/ABAC, and observability across data products.