Key Technologies:

Databricks | Microsoft Fabric | GenAI | LLM | RAG | PySpark | Data Lake | Lakehouse | Data Warehouse | Data Modelling

Role Overview :

We are looking for an experienced Data & AI Architect to design and lead enterprise - scale Data and AI architectures. The ideal candidate will have strong hands - on expertise in Databricks, Microsoft Fabric, modern data platforms, and Generative AI solutions.

You will be responsible for defining architecture standards, designing scalable data platforms, enabling AI/LLM/RAG use cases, and providing technical leadership from architecture through implementation.

Core Technical Expertise :

- Strong expertise in Databricks and modern data engineering architecture.

- Hands - on experience with Microsoft Fabric and modern analytics platforms.

- Strong understanding of Data Lakes, Lakehouse and Data Warehouse architectures.

- Expertise in PySpark and scalable distributed data processing.

- Experience designing GenAI, LLM and RAG - based enterprise solutions.

- Strong knowledge of Data Modelling and enterprise analytical models.

- Experience defining scalable, secure and governed enterprise data architectures.

Key Responsibilities :

- Define enterprise - wide Data and AI architecture, standards and solution patterns.

- Design and lead high - performance Databricks and Microsoft Fabric platforms.

- Architect scalable Data Lake, Lakehouse and Data Warehouse solutions.

- Design AI/ML - ready data pipelines and data - processing architectures.

- Develop architecture patterns for GenAI, LLM and RAG solutions.

- Establish best practices for data governance, quality, security and modelling.

- Drive platform scalability, reliability, performance and cost optimisation.

- Partner with business, engineering and product stakeholders to translate requirements into scalable technical solutions.

- Provide architecture - level guidance and mentor technical and engineering teams.

- Lead technical decision - making from solution architecture through implementation.

Candidate Profile :

- 12 - 14 years of experience in Data Engineering, Data Architecture or related technology domains.

- Strong hands - on experience in enterprise - scale architecture and solution design.

- Proven experience with Databricks and PySpark.

- Hands - on experience with Microsoft Fabric.

- Strong exposure to cloud - based enterprise data platforms.

- Experience designing and implementing GenAI / LLM / RAG solutions.

- Strong understanding of Lakehouse, Data Lake and Data Warehouse architecture.

- Excellent knowledge of Data Modelling and enterprise data design.

- Strong technical leadership, stakeholder management and architecture decision - making skills.

Preferred Skills :

- Experience with data governance, metadata management and data quality frameworks.

- Experience designing secure and governed enterprise AI solutions.

- Exposure to AI/ML platform architecture and production AI workloads.

- Experience with modern cloud data ecosystems.

- Strong communication and stakeholder management skills.

- Ideal for a senior architect who can combine deep Data Platform expertise with modern AI architecture and lead enterprise - scale transformation initiatives.