Job Description
The Data Architect defines and governs the end-to-end data and analytics architecture, designing scalable, secure, and future-ready ecosystems across OCI, Snowflake, and BI platforms.
The role enables advanced analytics and ML by establishing medallion architecture, semantic layers, and ML Ops-ready data foundations aligned to business strategy.
Responsibilities
Enterprise Architecture & Roadmap Alignment
Develop and maintain architecture blueprints aligned with initiatives such as ML Data Warehouse, Semantic Layer, and Medallion Architecture data warehousing.
Translate roadmap priorities into actionable architecture designs that support model deployment, governance, and advanced analytics.
Define and enforce data governance frameworks, including lineage, metadata, and compliance standards
Platform Integration & Enablement
Architect solutions for OCI-based ML Data Warehouse, feature stores, and curated datasets.
Enable interoperability between ML Ops pipelines, semantic layers, and BI platforms (Tableau Cloud, PowerBI).
Evaluate emerging technologies for natural language querying and reinforcement learning ecosystems.
Scalability & Performance Optimization
Design multi-cloud or hybrid architectures for resilience and cost efficiency.
Optimize infrastructure for high-performance analytics and ML workloads using containerization and orchestration tools.
Future-Ready Capabilities
Lay the foundation for advanced features such as automated retraining, semantic-driven insights, and natural language data querying.
Support integration of reinforcement learning and real-time analytics into the architecture.
Requirements
Technical Expertise
5+ years in data or enterprise architecture roles with strong experience in analytics ecosystems.
Proficiency in OCI, Snowflake, Azure services, and BI platforms (Tableau Cloud, Power BI).
Familiarity with ML Ops concepts, feature stores, and CI/CD for analytics workloads.
Strategic & Leadership Skills
Ability to align architecture decisions with business objectives and roadmap priorities.
Strong collaboration skills across engineering, data science, and business teams.
Tools & Technologies
Understanding of semantic layer architecture and natural language query enablement.
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The role enables advanced analytics and ML by establishing medallion architecture, semantic layers, and ML Ops-ready data foundations aligned to business strategy.
Responsibilities
Enterprise Architecture & Roadmap Alignment
Develop and maintain architecture blueprints aligned with initiatives such as ML Data Warehouse, Semantic Layer, and Medallion Architecture data warehousing.
Translate roadmap priorities into actionable architecture designs that support model deployment, governance, and advanced analytics.
Define and enforce data governance frameworks, including lineage, metadata, and compliance standards
Platform Integration & Enablement
Architect solutions for OCI-based ML Data Warehouse, feature stores, and curated datasets.
Enable interoperability between ML Ops pipelines, semantic layers, and BI platforms (Tableau Cloud, PowerBI).
Evaluate emerging technologies for natural language querying and reinforcement learning ecosystems.
Scalability & Performance Optimization
Design multi-cloud or hybrid architectures for resilience and cost efficiency.
Optimize infrastructure for high-performance analytics and ML workloads using containerization and orchestration tools.
Future-Ready Capabilities
Lay the foundation for advanced features such as automated retraining, semantic-driven insights, and natural language data querying.
Support integration of reinforcement learning and real-time analytics into the architecture.
Requirements
Technical Expertise
5+ years in data or enterprise architecture roles with strong experience in analytics ecosystems.
Proficiency in OCI, Snowflake, Azure services, and BI platforms (Tableau Cloud, Power BI).
Familiarity with ML Ops concepts, feature stores, and CI/CD for analytics workloads.
Strategic & Leadership Skills
Ability to align architecture decisions with business objectives and roadmap priorities.
Strong collaboration skills across engineering, data science, and business teams.
Tools & Technologies
Understanding of semantic layer architecture and natural language query enablement.
Show more Show less
💡 Quick Summary
Seeking a career-building opportunity? The WIN_Data_Architect position is now open for candidates interested in the Data Entry Jobs sector. This role in Chennai offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Data Entry Jobs is a plus.