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Azure Data Architect

Azure Data Architect

Domnic Lewisranchi, India
2 days ago
Job description

Data Architecture & Analytics

  • Architect and implement scalable ELT / ETL pipelines using Azure Data Factory (ADF).
  • Develop and optimize data processing and analytics workflows in Azure Databricks using PySpark and Delta Lake.
  • Implement Delta Live Tables, Unity Catalog, and Azure Purview for governance, data lineage, and access control.
  • Design and deploy enterprise data models and analytical layers using Azure Synapse Analytics.
  • Enable enterprise reporting and self-service analytics through Power BI integration.
  • Manage both structured and unstructured data using Azure Blob Storage and Azure Data Lake Storage Gen2.
  • Collaborate with data scientists and business teams to enable machine learning and predictive analytics use cases.
  • Define and enforce data architecture standards, naming conventions, and performance best practices.

Integration & Enterprise Connectivity

  • Design and implement integrations between SAP and non-SAP systems using SAP CPI, Azure API Management, and REST / SOAP APIs.
  • Ensure secure and scalable data flow across on-premises, cloud, and hybrid environments.
  • Implement API authentication and security protocols (OAuth 2.0, JWT, SAML).
  • Integrate enterprise applications with Azure Entra ID for identity and access management.
  • Establish reusable integration patterns and frameworks for enterprise-wide adoption.
  • Governance, Security & Compliance

  • Ensure data quality, lineage, and governance across the analytics ecosystem.
  • Implement security and compliance controls aligned with GxP, 21 CFR Part 11, and corporate IT policies.
  • Monitor cost and performance optimization across Azure services.
  • Oversee DevOps and CI / CD pipelines for automated deployment and testing using Azure DevOps.
  • Leadership & Collaboration

  • Collaborate closely with cross-functional IT, data, and business teams.
  • Conduct technical design reviews, mentor developers, and ensure adherence to architectural standards.
  • Support vendor evaluations, solution assessments, and proof-of-concept initiatives.
  • Communicate complex technical concepts effectively to senior management and business stakeholders.
  • Education & Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
  • MBA is a plus.
  • Mandatory Requirements

  • Minimum 9+ years of experience in data analytics, engineering, and enterprise integration.
  • Proven experience architecting enterprise-scale data platforms on Azure.
  • Strong hands-on expertise in Azure Databricks (PySpark, Delta Lake, Unity Catalog).
  • Proficiency in Azure Data Factory, Azure Synapse Analytics, Power BI, Blob Storage, and Data Lake Gen2.
  • Experience integrating SAP systems (S / 4HANA, SuccessFactors, MES, LIMS, CRM) with Azure and other platforms.
  • Proficient in integration technologies (SAP CPI, Azure API Management, middleware platforms).
  • Deep understanding of data security and identity protocols (OAuth, JWT, SAML) and Azure Entra ID.
  • Familiarity with GxP-compliant data handling and governance practices.
  • Desirable Requirements

  • Experience in pharmaceutical manufacturing and regulatory environments.
  • Exposure to Azure DevOps, Terraform, or ARM templates for infrastructure automation.
  • Knowledge of modern data architecture principles (Lakehouse, Data Mesh, ELT).
  • Preferred Certifications

  • Microsoft Certified : Azure Solutions Architect Expert
  • Microsoft Certified : Data Engineer Associate
  • Microsoft Certified : Identity and Access Administrator Associate
  • SAP Certified Technology Associate – SAP Integration Suite
  • TOGAF or equivalent Enterprise Architecture certification
  • Preferred Industry Experience

    Pharmaceutical Manufacturing

    Regulated Environments (GxP, FDA, ISO)

    Experience

    Minimum 10 years in data architecture, analytics, and enterprise integration roles.

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