Snowflake Data Architect

Req ID: 367467\n\nNTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.\n\nWe are currently seeking a Snowflake Data Architect to join our team in Bangalore, Karn\u0101taka (IN-KA), India (IN).\n\nJob Duties: Job Summary: \nWe are seeking a highly skilled Azure Data Architect to design and implement scalable, secure, and efficient data solutions in Microsoft Azure. The ideal candidate will bring deep expertise in Azure Data Services, Data Warehousing, Data Lake, Data Mesh Architecture, and emerging Generative AI technologies, while supporting enterprise-wide data and analytics initiatives. \n________________________________________ \nKey Responsibilities: \n\u2022 Design and implement end-to-end data architecture using Azure Data Services (e.g., Azure Data Factory, Synapse Analytics, Azure Data Lake Storage Gen2, Azure SQL, and Databricks). \n\u2022 Architect and optimize Data Warehousing, Data Mesh and Data Lake solutions to support both batch and real-time data processing. \n\u2022 Define and enforce data governance, security, and compliance standards aligned with enterprise policies. \n\u2022 Integrate data across multiple sources including structured, semi-structured, and unstructured data. \n\u2022 Collaborate with business stakeholders to understand data requirements and translate them into technical solutions. \n\u2022 Drive adoption of AI/ML and Generative AI capabilities (e.g., Azure OpenAI, Cognitive Services, Fabric AI workloads) for predictive and generative use cases. \n\u2022 Lead performance tuning, monitoring, and operational support of the data platform. \n\u2022 Mentor and guide data engineers, developers, and analysts on best practices. \n \nMinimum Skills Required: Required Skills and Qualifications: \n\u2022 8+ years of experience in Data Engineering / Architecture roles. \n\u2022 Proven experience with Azure Data Services including: \no Azure Data Factory, Synapse Analytics, Data Lake Storage \no Azure SQL DB, SQL Managed Instance, Cosmos DB \no Azure Databricks or PySpark \n\u2022 Strong understanding of Data Warehousing concepts (star schema, dimensional modeling, partitioning, indexing, slowly changing dimensions). \n\u2022 Hands-on with Data Lake architecture, schema evolution, and Delta Lake. \n\u2022 Experience with AI/ML pipelines and integrating Generative AI models (OpenAI, Azure ML, LangChain, etc.). \n\u2022 Proficient in SQL, Python, Scala and PySpark for data transformation. \n\u2022 Experience in real time data processing using Kafka or Azure Event Hub \n\u2022 Solid understanding of DevOps and CI/CD pipelines for data workloads. \n\u2022 Familiarity with Microsoft Fabric and Power BI for end-to-end BI delivery. \n\u2022 Excellent communication, stakeholder management, and documentation skills. \n________________________________________ \nPreferred Qualifications: \n\u2022 Azure certifications (e.g., Azure Solutions Architect Expert, Azure Data Engineer Associate) \n\u2022 Experience with Microsoft Fabric, Purview, Azure AI Studio, or OpenAI APIs\n\nAbout NTT DATA\n\nNTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world\u0027s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R\u0026D.\n\nWhenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client\u2019s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.\n\nNTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you\u0027d like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.\n