Principal Data Architect - R01556905

Bangalore, India
Job ID: R01556905

Principal Data Architect - R01556905

Principal Data Architect
Primary Skills
  • Fabric, Azure Data engineering, ADF,
  • Specialization
  • Azure Data EngineerIng Basic: Principal Data Architect
  • Job requirements
  • About the Role:
  • We are seeking an experienced Principal Data Architect with deep expertise in designing and implementing large-scale data platforms on Azure. The ideal candidate will have extensive experience across ADLS, ADF, Synapse Analytics, and Microsoft Fabric, and a proven ability to define modern data architecture strategies that enable analytics, AI, and business transformation.

    Key Responsibilities:
  • Define and implement end-to-end Azure data architecture leveraging ADLS Gen2, ADF, Synapse, Databricks, and Microsoft Fabric.
  • Lead the design and modernization of enterprise data platforms, enabling scalable, secure, and cost-effective data solutions.
  • Partner with business and technology stakeholders to translate analytical and reporting needs into technical designs.
  • Architect data lakehouse and warehouse solutions aligned with data governance, cataloging, and lineage frameworks.
  • Evaluate and implement data integration, transformation, and orchestration patterns for high-volume data workloads.
  • Drive data platform standardization, automation, and CI/CD practices across projects.
  • Provide technical leadership and mentorship to engineers and data modelers.
  • Collaborate with cross-functional teams to ensure data security, compliance, and performance optimization.
  • Stay current on emerging Azure and Microsoft Fabric capabilities to drive innovation and continuous improvement.

  • Required Skills & Experience:
  • 14+ years of experience in data engineering, architecture, or analytics, with at least 6+ years on Azure data services.
  • Strong hands-on expertise with:
  • Azure Data Lake Storage (ADLS) Gen2
  • Azure Data Factory (ADF)
  • Azure Synapse Analytics
  • Microsoft Fabric (Data Engineering / Data Warehouse / Data Activator)
  • Databricks / PySpark / Power BI (preferred)
  • Experience designing data lakehouse, ELT pipelines, and real-time data solutions.
  • Proven experience in solution architecture, cost optimization, and performance tuning.
  • Familiarity with data governance, security, and metadata management frameworks.
  • Excellent stakeholder management, communication, and leadership skills.
  • Azure certifications (e.g., Azure Solutions Architect Expert, Data Engineer Associate) are a strong plus.

  • Preferred Qualifications:
  • Experience in retail, logistics, BFSI, or manufacturing domains.
  • Exposure to data mesh or data fabric concepts and implementations.
  • Prior experience in leading large modernization or migration programs.
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