Snowflake Data Architect

As a Snowflake Data Architect at NTT DATA, your role involves designing and implementing scalable, secure, and efficient data solutions in Microsoft Azure. Your deep expertise in Azure Data Services, Data Warehousing, Data Lake, Data Mesh Architecture, and emerging Generative AI technologies will support enterprise-wide data and analytics initiatives. Key Responsibilities: - Design and implement end-to-end data architecture using Azure Data Services such as Azure Data Factory, Synapse Analytics, Azure Data Lake Storage Gen2, Azure SQL, and Databricks. - Architect and optimize Data Warehousing, Data Mesh, and Data Lake solutions for both batch and real-time data processing. - Define and enforce data governance, security, and compliance standards aligned with enterprise policies. - Integrate data from multiple sources including structured, semi-structured, and unstructured data. - Collaborate with business stakeholders to understand data requirements and translate them into technical solutions. - Drive the adoption of AI/ML and Generative AI capabilities for predictive and generative use cases. - Lead performance tuning, monitoring, and operational support of the data platform. - Mentor and guide data engineers, developers, and analysts on best practices. Qualifications Required: - 8+ years of experience in Data Engineering/Architecture roles. - Proven experience with Azure Data Services like Azure Data Factory, Synapse Analytics, Data Lake Storage, Azure SQL DB, Azure Databricks, etc. - Strong understanding of Data Warehousing concepts such as star schema, dimensional modeling, indexing, etc. - Hands-on experience with Data Lake architecture, schema evolution, and Delta Lake. - Proficiency in SQL, Python, Scala, and PySpark for data transformation. - Experience in real-time data processing using Kafka or Azure Event Hub. - Familiarity with DevOps and CI/CD pipelines for data workloads. - Excellent communication, stakeholder management, and documentation skills. About NTT DATA: NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. Committed to accelerating client success and positively impacting society through responsible innovation, NTT DATA offers unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers, and application services. With experts in more than 50 countries, NTT DATA provides industry solutions to help organizations and society transition confidently into the digital future. As an equal opportunity employer, NTT DATA ensures accessibility and inclusivity for all users. As a Snowflake Data Architect at NTT DATA, your role involves designing and implementing scalable, secure, and efficient data solutions in Microsoft Azure. Your deep expertise in Azure Data Services, Data Warehousing, Data Lake, Data Mesh Architecture, and emerging Generative AI technologies will support enterprise-wide data and analytics initiatives. Key Responsibilities: - Design and implement end-to-end data architecture using Azure Data Services such as Azure Data Factory, Synapse Analytics, Azure Data Lake Storage Gen2, Azure SQL, and Databricks. - Architect and optimize Data Warehousing, Data Mesh, and Data Lake solutions for both batch and real-time data processing. - Define and enforce data governance, security, and compliance standards aligned with enterprise policies. - Integrate data from multiple sources including structured, semi-structured, and unstructured data. - Collaborate with business stakeholders to understand data requirements and translate them into technical solutions. - Drive the adoption of AI/ML and Generative AI capabilities for predictive and generative use cases. - Lead performance tuning, monitoring, and operational support of the data platform. - Mentor and guide data engineers, developers, and analysts on best practices. Qualifications Required: - 8+ years of experience in Data Engineering/Architecture roles. - Proven experience with Azure Data Services like Azure Data Factory, Synapse Analytics, Data Lake Storage, Azure SQL DB, Azure Databricks, etc. - Strong understanding of Data Warehousing concepts such as star schema, dimensional modeling, indexing, etc. - Hands-on experience with Data Lake architecture, schema evolution, and Delta Lake. - Proficiency in SQL, Python, Scala, and PySpark for data transformation. - Experience in real-time data processing using Kafka or Azure Event Hub. - Familiarity with DevOps and CI/CD pipelines for data workloads. - Excellent communication, stakeholder management, and documentation skills. About NTT DATA: NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. Committed to accelerating client success and positively impacting society through responsible innovation, NTT DATA offers unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers, and application services. With experts in more than