Job Description: Key Responsibilities 1. Architecture & Design Define the end-to-end architecture for Snowflake on Azure, including landing zones, resource hierarchy, and platform standards. Design data ingestion, transformation, and orchestration workflows using Azure Data Factory, Event Hub, and Fabric Data Factory. Develop scalable pipelines aligned to the Medallion Architecture (Bronze, Silver, Gold). Ensure best practices in performance optimization, storage design, and cost efficiency. 2. Governance, Security & Compliance Embed security-by-design principles across all layers: RBAC/ABAC, encryption, data masking, and secure connectivity. Define governance frameworks covering metadata, lineage, access control, versioning, and compliance requirements. Ensure adherence to enterprise and regulatory standards for data security and privacy. 3. Integration & Advanced Analytics Enablement Lead architectural integration with BI tools, APIs, Data Science platforms, and downstream consumer systems. Ensure the platform supports real-time ingestion, metadata-driven automation, and readiness for AI/ML workloads. Drive adoption of best practices for analytics acceleration and modern data engineering approaches. 4. Collaboration & Leadership Work with client SMEs and engineering teams to validate architecture decisions and roadmap alignment. Provide technical guidance and mentorship to engineering teams, ensuring high-quality delivery. Conduct design reviews, provide solution recommendations, and support architectural governance processes. Required Skills & Experience Strong expertise in Snowflake architecture, Azure Data Platform, and cloud-native data engineering. Hands-on experience with ADF, Event Hub, Azure Fabric, and related Azure services. Deep understanding of data security frameworks, RBAC/ABAC, encryption techniques, and compliance controls. Expertise in designing large-scale, real-time and batch data pipelines. Knowledge of Medallion Architecture and metadata-driven frameworks. Solid communication, solutioning, and client-facing consulting experience. Preferred Qualifications Certifications in Snowflake, Azure Architect, or related technologies. Experience working in consulting or enterprise architecture roles. Exposure to DataOps, CI/CD, or automation frameworks.

Responsibilities: Key Responsibilities 1. Architecture & Design Define the end-to-end architecture for Snowflake on Azure, including landing zones, resource hierarchy,



and platform standards. Design data ingestion, transformation, and orchestration workflows using Azure Data Factory, Event Hub, and Fabric Data Factory. Develop scalable pipelines aligned to the Medallion Architecture (Bronze, Silver, Gold). Ensure best practices in performance optimization, storage design, and cost efficiency. 2. Governance, Security & Compliance Embed security-by-design principles across all layers: RBAC/ABAC, encryption, data masking, and secure connectivity. Define governance frameworks covering metadata, lineage, access control, versioning, and compliance requirements. Ensure adherence to enterprise and regulatory standards for data security and privacy. 3. Integration & Advanced Analytics Enablement Lead architectural integration with BI tools, APIs, Data Science platforms, and downstream consumer systems. Ensure the platform supports real-time ingestion, metadata-driven automation, and readiness for AI/ML workloads. Drive adoption of best practices for analytics acceleration and up-to-date data engineering approaches. 4. Collaboration & Leadership Work with client SMEs and engineering teams to validate architecture decisions and roadmap alignment. Provide technical guidance and mentorship to engineering teams, ensuring high-quality delivery. Conduct design reviews, provide solution recommendations, and support architectural governance processes. Required Skills & Experience Strong expertise in Snowflake architecture, Azure Data Platform, and cloud-native data engineering. Hands-on experience with ADF, Event Hub, Azure Fabric, and related Azure services. Deep understanding of data security frameworks, RBAC/ABAC, encryption techniques, and compliance controls. Expertise in designing large-scale, real-time and batch data pipelines. Knowledge of Medallion Architecture and metadata-driven frameworks. Strong communication, solutioning, and client-facing consulting experience. Preferred Qualifications Certifications in Snowflake, Azure Architect, or related technologies.



Experience working in consulting or enterprise architecture roles. Exposure to DataOps, CI/CD, or automation frameworks.

Qualifications: Key Responsibilities 1. Architecture & Design Define the end-to-end architecture for Snowflake on Azure, including landing zones, resource hierarchy, and platform standards. Design data ingestion, transformation, and orchestration workflows using Azure Data Factory, Event Hub, and Fabric Data Factory. Develop scalable pipelines aligned to the Medallion Architecture (Bronze, Silver, Gold). Ensure best practices in performance optimization, storage design, and cost efficiency. 2. Governance, Security & Compliance Embed security-by-design principles across all layers: RBAC/ABAC, encryption, data masking, and secure connectivity. Define governance frameworks covering metadata, lineage, access control, versioning, and compliance requirements. Ensure adherence to enterprise and regulatory standards for data security and privacy. 3. Integration & Advanced Analytics Enablement Lead architectural integration with BI tools, APIs, Data Science platforms, and downstream consumer systems. Ensure the platform supports real-time ingestion, metadata-driven automation, and readiness for AI/ML workloads. Drive adoption of best practices for analytics acceleration and modern data engineering approaches. 4. Collaboration & Leadership Work with client SMEs and engineering teams to validate architecture decisions and roadmap alignment. Provide technical guidance and mentorship to engineering teams, ensuring high-quality delivery. Conduct design reviews, provide solution recommendations, and support architectural governance processes. Required Skills & Experience Strong expertise in Snowflake architecture, Azure Data Platform, and cloud-native data engineering. Hands-on experience with ADF, Event Hub, Azure Fabric, and related Azure services. Deep understanding of data security frameworks, RBAC/ABAC, encryption techniques, and compliance controls. Expertise in designing large-scale, real-time and batch data pipelines. Knowledge of Medallion Architecture and metadata-driven frameworks. Strong communication, solutioning, and client-facing consulting experience. Preferred Qualifications Certifications in Snowflake, Azure Architect, or related technologies. Experience working in consulting or enterprise architecture roles. Exposure to DataOps, CI/CD, or automation frameworks.

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