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Data Architect
Data ArchitectHyrhub • Newton, MA, United States
Data Architect

Data Architect

Hyrhub • Newton, MA, United States
[job_card.variable_hours_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

A seasoned Azure Data Architect with deep expertise in the Microsoft Fabric platform to design, develop, and govern enterprise-scale analytics and data-platform solutions.

  • Bachelor’s or Master’s degree in computer science, Information Technology, or a related field.
  • Candidate will be responsible for designing, developing, and maintaining scalable, secure, and efficient data integration pipelines using Microsoft Fabric capabilities.
  • Develop and manage lakehouse and warehouse architectures (using Fabric Lakehouse / Warehouse, Delta Lake, etc.).
  • This role requires strong expertise in Azure Data Factory , Azure Synapse / Data Lake , Data Lake Storage Gen2 and associated Azure data services, along with hands-on experience in ETL / ELT development, performance tuning, and automation.
  • Design and develop data pipelines using Azure Data Factory for ingesting, transforming, and orchestrating data from multiple on-prem and cloud sources.
  • Implement ETL / ELT processes to move data from various sources (SQL, APIs, files, SAP, etc.) to Azure Data Lake , Azure Synapse , or Databricks .
  • Strong problem-solving skills and attention to detail.
  • Experience working in Agile / Scrum development teams is preferred.
  • Certifications such as Microsoft Certified : Fabric Data Engineer Associate, Azure Solutions Architect or similar.
  • Exposure to Customer data platform (MS Customer Insights Data and MS customer insights journey).

Key Responsibilities

  • Collaborate with business stakeholders and senior leadership to translate business requirements into a coherent data-platform architecture.
  • Define and maintain the data-architecture roadmap, including data-ingestion, transformation, storage and analytics layers using Microsoft Fabric.
  • Design end-to-end data solutions : ingestion pipelines, lakehouses / warehouses, semantic layer, analytics consumption and real-time capabilities.
  • Architect and guide modelling of data (conceptual, logical, physical) – ensuring consistency, performance and reusability.
  • Oversee migration of existing platforms (on-premises or legacy cloud systems) to Fabric-centric architecture.
  • Work with data-engineering and analytics teams to implement solutions (e.g., Azure Data Factory / SQL / Synapse, Fabric pipelines, OneLake).
  • Build and maintain parameterized, reusable ADF pipelines with dynamic configurations.
  • Integrate ADF with Azure Functions , Logic Apps , and DevOps CI / CD pipelines.
  • Ensure data quality, data governance, security and compliance across Fabric solutions.
  • Monitor, tune, and optimise performance of data pipelines and storage solutions to ensure efficiency, cost-effectiveness and reliability.
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