Data Architect
Virtusa
Date: 2 weeks ago
City: Chennai, Tamil Nadu
Contract type: Full time
Data Architect Consultant
Location PCS CHE, Chennai
Years of Experience 7-10 Years
Job Summary We are seeking a skilled Data Architect Consultant to design and define the end-to-end architecture for an AI-ready, feature-store-capable enterprise data platform (MDR). The ideal candidate will assess the current MDR architecture and recommend enhancements to transition from a passive repository to a first-class feature management ecosystem.
Responsibilities
Location PCS CHE, Chennai
Years of Experience 7-10 Years
Job Summary We are seeking a skilled Data Architect Consultant to design and define the end-to-end architecture for an AI-ready, feature-store-capable enterprise data platform (MDR). The ideal candidate will assess the current MDR architecture and recommend enhancements to transition from a passive repository to a first-class feature management ecosystem.
Responsibilities
- Architect the Data Foundation Layer to manage raw and standardized source data effectively.
- Engineer the Feature Store Layer to support reusable, governed model features, including lineage management and refresh frequency.
- Define and implement core Feature Store entities to ensure consistency and reusability.
- Design the Model Execution Layer architecture for seamless production scoring inputs and outputs.
- Establish a comprehensive Monitoring & Governance Layer to track KPIs, data drift, model performance, and explainability.
- Organize the data architecture around key business objects like Counterparties, Loans, Facilities, and Exposures.
- Design and deploy scalable batch and real-time feature ingestion pipelines using modern data engineering frameworks.
- Collaborate with cross-functional teams to define data quality standards, metadata frameworks, and MLOps practices.
- Proven experience as a Data Architect with a focus on feature management ecosystems.
- Strong understanding of data architecture principles and best practices.
- Experience with data ingestion pipelines and modern data engineering frameworks.
- Expertise in managing data lineage, calculation logic, and governance.
- Familiarity with AI/ML concepts and practices.
- Experience in working with cloud-based data platforms.
- Knowledge of data quality and metadata management frameworks.
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- 7-10 years of relevant experience in data architecture and engineering.
- Strong analytical and problem-solving skills.
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