Data & AI Architect with Microsoft Fabric experience

Intellias; Polska; On-site; PLN 180,000 - 240,000; Full time

Job summary

Intellias is seeking a senior data architect to lead end-to-end data platform designs for enterprise clients. You will shape the target data and AI architecture across Microsoft Fabric, Azure AI Foundry and related services, collaborating with global stakeholders.

You will deliver lakehouse models, ensure data quality and governance, and guide productionization of AI solutions while communicating trade-offs and risks to business partners.

Qualifications

• 8+ years in data engineering or data platforms with end-to-end designs for enterprise clients.
• 3+ years as a solution or data architect.
• Hands-on Python and SQL; PySpark knowledge.
• Delivery of production data platforms and AI integrations.
• Delivered at least one generative AI solution (RAG, document AI or agents).
• Ability to explain architecture to non-technical stakeholders and defend decisions with trade-offs, cost and risk.
• English at B2+ (Upper-Intermediate) or higher for daily work with US stakeholders.

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.

Skills

Data architecture

Azure data services

Python

SQL

PySpark

Stakeholder communication

English proficiency (B2+)

Tools

Microsoft Fabric / OneLake

Azure AI Foundry

Azure OpenAI

Azure AI Search

Power Platform

Purview

Entra ID

Key Vault

Azure Monitor

Job description

Let’s breathe life into great tech ideas! With 3,000 people globally, Intellias is a company where benchmark technological solutions are born. Join in and take your part in digitalizing the world.

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.

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.