Job Description
Data Architect
Job Title

Data Architect
Role Summary

The Data Architect is a senior technical leadership role responsible for defining, designing, and governing enterprise data architecture across operational, analytical, and AI-enabled data platforms. This role owns the data architecture strategy, data models, schemas, integration patterns, performance standards, data cataloging, lineage, golden data-set design, and data security controls required to deliver trusted, scalable, and AI-ready data products. The Data Architect works closely with product, engineering, analytics, AI/ML, security, compliance, and business stakeholders to ensure structured and unstructured data is reliable, governed, discoverable, reusable, and aligned to enterprise data policy.
Educational Qualification

• MS/ ME / BE / MCA / M.Tech / MS in Computer Science, Information Systems, Data Engineering, or related discipline
• Advanced certification or specialization in Data Architecture, Cloud Data Platforms, Data Governance, or Analytics preferred
Experience





• 12+ years of experience in data architecture, data engineering, enterprise data platforms, data modeling, data warehousing, lakehouse/data lake architecture, and large-scale data integration
• Proven experience designing production-grade enterprise data platforms with robust focus on performance, scalability, reliability, security, governance, and maintainability
• Hands-on experience with ETL/ELT pipelines, SQL optimization, schema design, metadata management, data cataloging, data lineage, and golden data-set/reference data architecture
• Experience enabling AI/ML use cases through AI-ready datasets, feature-ready data assets, data quality standards, and cloud data integration patterns including AWS SageMaker data preparation workflows
• Experience with languages like python, bash/ shell scripting, Go, et. al. and data-flow management tools
Key Responsibilities

Data Architecture & Strategy
• Define and own the enter

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