Data & AI Architect with Microsoft Fabric experience

Intellias; Spagna; Remoto; EUR 70.000 - 110.000; Tempo pieno

Descrizione del lavoro

Intellias is seeking a Data & AI Architect with Microsoft Fabric experience to lead enterprise data platform designs for a US-headquartered client. Remote from Spain with a Spanish contract, you will shape the data fabric, governance and AI strategy across SharePoint, CRM, ERP and document systems.

You’ll work on lakehouse architectures using Microsoft Fabric, Azure AI Foundry and Power Platform, and mentor a team of data and AI engineers while collaborating with US stakeholders.

Competenze

• 8+ years in data engineering or data platforms.
• 3+ years as data/solution architect leading end-to-end designs for enterprise clients.
• Proven delivery of production data platforms with medallion patterns and data quality.
• Strong Python and SQL; working knowledge of PySpark.
• English at B2+ (Upper-Intermediate) or higher for daily work with US stakeholders.

Mansioni

• Own the account’s target data and AI architecture, keep every initiative aligned to it, and maintain the architecture documents and decision records.
• Design lakehouse data models (medallion, Delta) with clear lineage and data quality rules.
• Plan environments, capacity and the path from pilot to production.
• Design integrations with enterprise systems like Microsoft 365/SharePoint, CRM and ERP, plus entity resolution.
• Build document intelligence pipelines using OCR, classification and LLM-based extraction.
• Architect RAG solutions and AI agents on Azure AI Foundry and Power Platform.
• Set up evaluation frameworks with golden datasets and gate model/prompt changes.
• Mentor data and AI engineers through design reviews and code reviews.

Conoscenze

Azure

Python

SQL

Data architecture

Data modelling

RBAC security

Stakeholder communication

Strumenti

Azure Fabric

OneLake

Azure OpenAI

Power Platform

Dataverse

Purview

Key Vault

Entra ID

Descrizione del lavoro

Data & AI Architect with Microsoft Fabric experience

Location: Remote from Spain (an indefinite Spanish employment contract)

The client is a US-headquartered engineering, architecture, construction and commissioning firm delivering complex facilities for the life sciences and advanced technology sectors. Its knowledge lives across SharePoint, CRM, project management, cost and document systems, and the client is investing in data and AI to put that knowledge to work.

Intellias is the client’s data and AI delivery partner. The engagement covers several streams that run in parallel or follow one another:

Data platform: a governed Microsoft Fabric lakehouse that consolidates project, commercial and document data into one trusted source.

Knowledge and document AI: extraction, search and cited generation over large archives of proposals, specifications, drawings and project records.

AI agents and workflow automation: assistants embedded in pre-construction, proposal, delivery and innovation processes, including idea intake, triage and approval flows.

Governance and enablement: AI governance, security, environment set-up, including isolated or offline deployments, and capability building for client teams.

Requirements:

Tech stack:

Tech stack: Microsoft Fabric / OneLake, Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure AI Document Intelligence, Power Platform and Dataverse, Microsoft Purview, Entra ID, Key Vault, Azure Monitor; integrations with SharePoint (Graph API), Salesforce and Procore.

Requirements

• 8+ years in data engineering or data platforms, including 3+ years as a solution or data architect leading end-to-end designs for enterprise clients.
• 3+ years of Azure experience (Microsoft Fabric / OneLake, Azure AI Foundry and Azure OpenAI, Azure AI Search etc.) including security and governance (Entra ID, RBAC, Key Vault, private networking)
• Proven delivery of production data platforms (medallion patterns), experience in data modelling with lineage and provenance, data quality, entity resolution and master data.
• Delivered at least one generative AI solution (RAG, document AI or agents) beyond the prototype stage.
• Strong hands-on Python and SQL; working knowledge of PySpark.
• Ability to explain architecture and AI limits to non-technical business stakeholders, and to defend decisions with trade-offs, cost and risk.
• Comfortable working across several initiatives at once and switching between strategy and hands-on detail.
• English at B2+ (Upper-Intermediate) or higher for daily work with US stakeholders.

Nice to have

• Experience in the AEC (architecture, engineering, construction) or life sciences domain: pre-construction, estimating, proposals, commissioning and qualification.
• Exposure to Procore, Salesforce, Cosential or similar construction and professional-services systems.
• Agentic frameworks (Semantic Kernel, LangGraph, Azure AI Foundry Agent Service), Model Context Protocol and LLM evaluation tooling.
• Infrastructure as code (Bicep or Terraform) and CI/CD for Fabric and Azure (Azure DevOps or GitHub Actions).
• Azure / Fabric certifications

Responsibilities

• Own the account’s target data and AI architecture, keep every initiative aligned to it, and maintain the architecture documents and decision records.
• Design lakehouse data models (medallion, Delta) with clear lineage, data quality rules and reusable data products.
• Plan environments, capacity and the path from pilot to production.
• Design integrations with enterprise systems such as Microsoft 365/SharePoint, CRM, ERP, finance and project systems, plus entity resolution to link clients, projects and documents.
• Build document intelligence pipelines that use OCR, classification and LLM-based extraction.
• Architect RAG solutions and AI agents on Azure AI Foundry and Power Platform, with grounded answers, tool use and human-in-the-loop steps.
• Set up evaluation frameworks with golden datasets, and use them to gate model and prompt changes.
• Design security and governance: Entra ID/RBAC, document-level access, Purview, audit logging, monitoring and cost controls, plus isolated deployments where required.
• Act as the client’s trusted technical advisor: run workshops and present trade-offs, cost and risk clearly.
• Support new client initiatives with estimates, RFP responses, demos, proposals and proofs of concept
• Mentor data and AI engineers through design reviews, code reviews and prototyping, and help grow the client’s in-house capability.

Why this position:

At Intellias, where technology takes center stage, people always come before processes. We're dedicated to cultivating a tech-savvy environment that empowers individuals to unlock their true potential and achieve extraordinary results. Our customized benefits not only prioritize your well-being but also charge your professional growth, making this opportunity an ideal match for tech enthusiasts like you.