We’re seeking an experienced Data & AI Architect to lead the design and implementation of large-scale data architectures on cloud platforms. The ideal candidate will have a strong background in data warehousing, big data, data analytics, machine learning, AI, and cloud data engineering.
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.
Requirements
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.,).
Strong understanding of data governance and security.
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