Data Architect

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : AI & Data Solution Architecture Good to have skills : Microsoft Azure Databricks, PySpark, Python Frameworks Minimum 15 year(s) of experience is required Educational Qualification : 15 years full time education We are seeking an experienced AI Data Architect to design, develop, and implement scalable AI and data solutions that enable advanced analytics, machine learning, and generative AI capabilities. The ideal candidate will have strong expertise in cloud data platforms, data architecture, AI/ML technologies, and modern data engineering practices. Key Responsibilities Architect and develop agentic solutions using cloud-native technologies. Design and implement end-to-end AI and data architecture solutions aligned with business requirements. Define enterprise data models, data pipelines, data governance, and data integration frameworks. Architect and develop AI/ML and Generative AI solutions using cloud-native technologies. Collaborate with data engineers, application developers, data scientists, and business stakeholders. Design scalable and secure data platforms supporting structured and unstructured data. Establish best practices for data quality, lineage, security, privacy, and compliance. Develop and optimize data ingestion, transformation, and processing frameworks. Support deployment, monitoring, and maintenance of AI and machine learning solutions. Drive innovation by evaluating emerging AI technologies and industry best practices. Provide technical leadership, architecture reviews, and mentoring to development teams. Required Skills AI & Machine Learning Generative AI, LLMs (Azure OpenAI, OpenAI, Anthropic, etc.) Prompt Engineering Retrieval-Augmented Generation (RAG) Vector Databases Machine Learning Model Development and Deployment MLOps Practices Data Architecture Data Modeling (Conceptual, Logical, Physical) Data Warehousing and Data Lakes Data Governance and Metadata Management Master Data Management (MDM) ETL/ELT Design Patterns Cloud Technologies Microsoft Azure (Preferred) o Azure Data Factory o Azure Databricks o Azure Synapse Analytics o Azure Data Lake Storage o Azure OpenAI o Azure AI Services Experience with AWS or GCP is an added advantage. Development & Programming Python SQL PySpark REST APIs Git, CI/CD Pipelines Infrastructure as Code (Terraform/Bicep preferred) Preferred Experience 8+ years of experience in Data Engineering, Data Architecture, or AI Solution Development. 3+ years of experience in AI/ML architecture and implementation. Experience working in enterprise-scale cloud environments. Hands-on experience with Databricks, Azure AI Services, and Large Language Models. Experience implementing AI governance, security, and compliance controls.

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : AI & Data Solution Architecture Good to have skills : Microsoft Azure Databricks, PySpark, Python Frameworks Minimum 15 year(s) of experience is required Educational Qualification : 15 years full time education We are seeking an experienced AI Data Architect to design, develop, and implement scalable AI and data solutions that enable advanced analytics, machine learning, and generative AI capabilities. The ideal candidate will have strong expertise in cloud data platforms, data architecture, AI/ML technologies, and modern data engineering practices. Key Responsibilities Architect and develop agentic solutions using cloud-native technologies. Design and implement end-to-end AI and data architecture solutions aligned with business requirements. Define enterprise data models, data pipelines, data governance, and data integration frameworks. Architect and develop AI/ML and Generative AI solutions using cloud-native technologies. Collaborate with data engineers, application developers, data scientists, and business stakeholders. Design scalable and secure data platforms supporting structured and unstructured data. Establish best practices for data quality, lineage, security, privacy, and compliance. Develop and optimize data ingestion, transformation, and processing frameworks. Support deployment, monitoring, and maintenance of AI and machine learning solutions. Drive innovation by evaluating emerging AI technologies and industry best practices. Provide technical leadership, architecture reviews, and mentoring to development teams. Required Skills AI & Machine Learning Generative AI, LLMs (Azure OpenAI, OpenAI, Anthropic, etc.) Prompt Engineering Retrieval-Augmented Generation (RAG) Vector Databases Machine Learning Model Development and Deployment MLOps Practices Data Architecture Data Modeling (Conceptual, Logical, Physical) Data Warehousing and Data Lakes Data Governance and Metadata Management Master Data Management (MDM) ETL/ELT Design Patterns Cloud Technologies Microsoft Azure (Preferred) o Azure Data Factory o Azure Databricks o Azure Synapse Analytics o Azure Data Lake Storage o Azure OpenAI o Azure AI Services Experience with AWS or GCP is an added advantage. Development & Programming Python SQL PySpark REST APIs Git, CI/CD Pipelines Infrastructure as Code (Terraform/Bicep preferred) Preferred Experience 8+ years of experience in Data Engineering, Data Architecture, or AI Solution Development. 3+ years of experience in AI/ML architecture and implementation. Experience working in enterprise-scale cloud environments. Hands-on experience with Databricks, Azure AI Services, and Large Language Models. Experience implementing AI governance, security, and compliance controls. 15 years full time education