Data & AI Architect

As a Data & AI Architect, your role involves leading the design and implementation of large-scale data architectures on cloud platforms. You will collaborate with stakeholders to understand business requirements, develop solutions, and ensure data security, scalability, maintainability, and reliability. Your responsibilities include designing and implementing scalable data architectures, maintaining data models, and developing AI/ML models using popular frameworks. Additionally, you will implement data ingestion, pipeline, preparation, and orchestration solutions, apply machine learning algorithms, and develop technical documentation. Key Responsibilities: - Collaborate with stakeholders to understand business requirements and develop solutions. - Design and implement scalable data architectures on cloud platforms. - Develop and maintain data models, data warehousing concepts, and data governance. - Implement data ingestion, pipeline, preparation, and orchestration solutions. - Apply machine learning algorithms and data analytics techniques. - Design and implement AI/ML models using popular frameworks. - Ensure data security, scalability, maintainability, and reliability. - Develop and maintain technical documentation. Qualifications Required: - 12-15 + years of experience in enterprise data architecture and implementation. - Strong expertise in cloud architecture. - Experience with AI/ML frameworks and libraries. - Experience with big data, data warehousing, and data analytics technologies. - Proficient in Python, Java, or similar programming languages. - Experience with data visualization tools (Power BI, Tableau, etc.,). - Strong understanding of data governance and security. - Knowledge of NoSQL databases (Cosmos DB, MongoDB, Cassandra, etc.,). (Note: Additional details about the company were not provided in the job description.),