DataBricks Architect

• Define and implement enterprise-wide data architecture strategies aligned with business objectives.
• Architect scalable and secure Data Lake, Data Warehouse, and Lakehouse solutions on Azure.
• Design end-to-end data ecosystems supporting batch, streaming, analytics, AI, and reporting workloads.
• Create architecture blueprints, solution designs, reference architectures, and technical standards.
• Lead architecture reviews, design governance, and technology selection activities.
• Design and implement enterprise-grade solutions using Azure Databricks.
• Develop scalable Lakehouse architectures leveraging Delta Lake.
• Define standards for workspace design, cluster management, performance optimization, and cost governance.
• Architect data engineering, data science, and machine learning environments on Databricks.
• Establish best practices for Unity Catalog, data lineage, and security implementation.
• Architect and oversee development of robust data ingestion, transformation, and orchestration frameworks.
• Event Hub
• Lead enterprise data migration and modernization initiatives.
• Define reusable data pipelines and framework accelerators.
• Design highly available, scalable, and resilient cloud-native architectures.
• Drive migration of on-premises applications and data platforms to Azure.
• Define cloud governance, security, and operational frameworks.
• Provide technical leadership for hybrid and multi-cloud integration strategies.
• Ensure solutions adhere to Azure Well-Architected Framework principles.

Data Governance & Security

• Design metadata management and data catalog solutions using Microsoft Purview.
• Ensure compliance with data privacy, security, and regulatory requirements.
• Define data quality, lineage, classification, and retention strategies.
• Collaborate with security teams to establish RBAC and access management controls.

Leadership & Stakeholder Management

• Act as the technology leader and trusted advisor for data platform initiatives.
• Guide development teams through design, development, testing, and deployment phases.
• Mentor architects, data engineers, and developers.
• Present architecture recommendations and roadmaps to senior stakeholders and executive leadership.
• Support proposal development, solution estimations, and pre-sales activities.

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