Azure Data Platform Architect: AI-Driven Solutions

Elitmind; Polska; Remote; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Flexible hours

Remote-friendly

Job summary

Elitmind is seeking a Data Platform Architect to design enterprise-scale Azure-based data solutions. You will work across architecture, implementation, and client needs, shaping solutions and supporting delivery.

You’ll design Data Platforms, Data Warehouses, and Lakehouses, and explore AI integration within data platforms, while ensuring governance, scalability, and cost efficiency. Remote-friendly with flexible hours for collaboration with clients and teams.

Qualifications

• Experience translating business needs into data platform architectures.
• Hands-on design of enterprise-scale Data Platforms and Data Lakes.
• Proven work with Databricks and Delta Lake technologies.
• Strong understanding of Azure infrastructure and identity components.
• Familiarity with Cloud Adoption Framework from a data perspective.
• Ability to collaborate with clients and stakeholders on architecture.

Responsibilities

• Gather requirements and translate them into data platform architectures.
• Design Data Platforms, Data Warehouses and Data Lakehouses at scale.
• Identify AI value and translate use cases into platform requirements.
• Define architecture for connectivity, CI/CD, data access, governance and cost.
• Collaborate with clients and delivery teams from concept to delivery.
• Stay current with Data Platform and AI architecture patterns.

Skills

Azure

Data Architecture

Databricks

Delta Live Tables

Unity Catalog

Azure Networking

CI/CD

Job description

Elitmind is seeking a Data Platform Architect to design enterprise-scale Azure-based data solutions. You will work across architecture, implementation, and client needs, shaping solutions and supporting delivery.

You’ll design Data Platforms, Data Warehouses, and Lakehouses, and explore AI integration within data platforms, while ensuring governance, scalability, and cost efficiency. Remote-friendly with flexible hours for collaboration with clients and teams.