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.
- 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.
- 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.
- 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.

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.
- 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.
- 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.
- 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.

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.
- 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.
- 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.
- 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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