OpsBrasil Serviços Cloud LTDA

Data architect (Fabric)

OpsBrasil Serviços Cloud LTDA

Australia, Canada, Germany, India, Netherlands, Sweden, Switzerland, United Kingdom, United States Remote Data 2 days ago via Himalayas
data-architecture data-engineering cloud-data-architecture data-platform-engineering microsoft-fabric azure-data-services sql etl data-governance

Job details

Company
OpsBrasil Serviços Cloud LTDA
Location
Australia, Canada, Germany, India, Netherlands, Sweden, Switzerland, United Kingdom, United States
Remote
Yes
Field
Data
Source
via Himalayas
Posted April 20, 2026
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About this role

We are looking for a highly skilled Data Architect with strong expertise in Microsoft Fabric to design, build, and optimize scalable data platforms. This role is ideal for someone who thrives in a cloud-first environment and enjoys shaping modern data architectures that drive business insights and innovation.

You will play a key role in defining data strategy, ensuring best practices, and collaborating with cross-functional teams across the organization.

Requirements

  • 5+ years of experience in Data Architecture or similar roles

  • Strong hands-on experience with Microsoft Fabric (Lakehouse, Data Factory, Synapse integration, etc.)

  • Solid experience with Azure data services (Azure Data Lake, Azure Synapse, Azure Data Factory)

  • Expertise in data modeling (dimensional and relational)

  • Proficiency in SQL and experience with large-scale data processing

  • Experience designing ETL/ELT pipelines

  • Strong understanding of data governance, security, and compliance

  • Experience working in cloud-native environments

  • Strong communication skills and ability to work with distributed teams

Key Responsibilities

  • Design and implement end-to-end data architecture solutions using Microsoft Fabric

  • Define data models, data lakes, warehouses, and lakehouse architectures

  • Lead the design of scalable, secure, and high-performance data pipelines

  • Collaborate with data engineers, analysts, and business stakeholders to translate requirements into technical solutions

  • Establish data governance, data quality, and security standards

  • Optimize data storage, processing, and retrieval for performance and cost-efficiency

  • Provide technical leadership and mentorship to engineering teams

  • Evaluate and integrate new tools and technologies within the Microsoft ecosystem

  • Ensure compliance with data regulations and best practices

Originally posted on Himalayas

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