The Azure Senior Data Cloud Architect is responsible for designing, building, and governing scalable, secure, and high-performing data platforms on Microsoft Azure. This role provides technical leadership, defines cloud data architecture standards, and works closely with business, engineering, and DevOps teams to deliver enterprise-grade data solutions.

Key Responsibilities:

Design and architect end-to-end data solutions on Microsoft Azure for large-scale enterprise environments.
Define cloud data architecture patterns, standards, and best practices.
Lead the design and implementation of data platforms using Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake, and Azure SQL.
Architect real-time and batch data processing solutions.
Ensure data security, governance, compliance, and cost optimization across Azure environments.
Collaborate with stakeholders to translate business requirements into scalable technical solutions.
Provide technical leadership and mentorship to data engineers and cloud teams.
Work closely with DevOps teams to enable CI/CD pipelines, infrastructure as code, and automation.
Support data migration initiatives from on-premises or other cloud platforms to Azure.
Review and approve solution designs, code, and pull requests to ensure quality and alignment with architecture standards.
Identify performance bottlenecks and drive continuous improvement initiatives.
Stay current with Azure cloud innovations and recommend adoption where appropriate.

Key Skills & Competencies:

Strong expertise in Microsoft Azure data services and cloud architecture.
Hands-on experience with Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake Storage Gen2, Azure SQL, and Cosmos DB, Dremio, Grafana
Deep understanding of data modeling, data warehousing, and data lake architectures.
Experience with real-time streaming technologies such as Azure Event Hubs and Azure Stream Analytics.
Strong knowledge of cloud security, identity management, networking, and governance.
Proficiency in Infrastructure as Code (ARM, Bicep, or Terraform).
Experience implementing CI/CD pipelines using Azure DevOps or GitHub Actions.
Solid understanding of DevOps and DataOps practices & Networking concepts
Strong problem-solving, analytical, and communication skills.
Ability to lead architecture discussions and influence technical decisions.

Required Experience & Qualifications:

10+ years of experience in data engineering, data architecture, or cloud solutions.
5+ years of hands-on experience designing and implementing data solutions on Microsoft Azure.
Experience working in large-scale enterprise or global environments.
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Microsoft Azure certifications such as Azure Solutions Architect Expert or Azure Data Engineer Associate are preferred.