Role Overview The Data Architect will design and implement enterprise-wide data architectures that enable secure, scalable, and efficient data management. This role focuses on cloud-native platforms, AI-driven data strategies, and automated governance, ensuring compliance and supporting advanced analytics for global clients. Key Responsibilities • Data Architecture & Design o Develop data models, schemas, and pipelines for structured and unstructured data. o Design cloud-native data solutions across AWS, Azure, or GCP. o Implement real-time data processing and analytics pipelines. • Governance & Compliance o Establish data governance frameworks and enforce compliance (GDPR, CCPA, HIPAA). o Implement zero-trust security architectures for data systems. • Modernization & Innovation o Lead data modernization initiatives, including migration from legacy systems. o Integrate AI/ML capabilities into data platforms and support MLOps practices. o Explore emerging technologies like blockchain, edge computing, and federated learning. • Collaboration & Documentation of Work closely with data engineers, analysts, and business stakeholders. o Document data architectures, standards, and technical specifications. Educational Qualifications : Bachelors in computer science, Data Science, or related field; Master’s preferred. Primary Skills : • Experience: 11+ years in data architecture and engineering. • Demonstrated history of designing and delivering end-to-end data solutions at scale on Oracle/SQL Server/DB2 or any other databases • Good Experience in cloud-native data architectures and migration strategies • Knowledge of cloud data platforms and services (e.g., AWS, Azure, GCP — BigQuery, Redshift, Snowflake, Databricks).
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