Enterprise Data Architect

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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.

Qualifications & Experience

• 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, lake houses/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, One Lake).

• Build and maintain parameterised, reusable ADF pipelines with dynamic configurations.

• Integrate ADF with Azure Functions, Logic Apps, and Dev Ops 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.

Seniority level

Mid‑Senior level

Employment type

Contract

Job function

Information Technology

Industries

IT Services and IT Consulting, Information Services, and Software Development

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