Data & AI Architect

About the role

Data#3 is looking for a delivery‑focused Data & AI Architect to join its Professional Services team. You will lead solution design for modern data platforms and AI‑enabled solutions on Microsoft Fabric and Azure, working directly with customers to define architecture, shape approaches, and guide decision‑making.

Key responsibilities

• Lead solution architecture for Microsoft Fabric and Azure data platforms, covering ingestion, transformation, modelling, governance and analytics.
• Implement data pipelines, lakehouse structures, orchestration, and platform configuration while embedding governance, lineage, quality and security‑by‑design.
• Design and deliver AI‑enabled solutions using Azure Foundry and Azure AI/Cognitive services, including model deployments, vector indexes, embeddings and semantic search.
• Produce high‑quality documentation such as HLDs, LLDs, data models, diagrams and decision records.
• Facilitate workshops, conduct discovery and technical assessments, and support pre‑sales activities.

Required profile

• 5–8+ years of experience in data engineering, data architecture or analytics solution design.
• Strong consulting capability with end‑to‑end platform delivery experience.
• Excellent communication skills and ability to simplify complex concepts for customers.
• Willingness to obtain or hold certifications such as AZ‑305, AI‑102, DP‑600, DP‑700 or DP‑900.

Required skills

• Microsoft Fabric (OneLake, Lakehouse, Pipelines, Notebooks, Real‑Time Analytics, Event Streams, Power BI governance).
• Azure Data Platform components: ADLS Gen2, Azure Data Factory, Synapse (dedicated & serverless), Databricks, Azure SQL, Cosmos DB, PostgreSQL, Azure Monitor, Key Vault.
• Architecture approaches: Medallion/Lakehouse, ETL/ELT, data modelling, SLA/SLO design.
• Governance frameworks aligned with DMBOK (data quality, stewardship, protection, compliance, metadata).
• Azure Foundry and Azure AI services (GPT models, fine‑tuning, embeddings, content filters, vision, search, language and document intelligence, Retrieval‑Augmented Generation patterns).