Manager - Data Architect

Golden Opportunities; Chennai District; On-site; INR 3,500,000 - 5,200,000; Full time

Job summary

Golden Opportunities invites a senior data architect to lead enterprise data architecture aligned with digital transformation initiatives in Chennai. The role focuses on defining standards, roadmaps, and scalable data platforms including Data Lake, Lakehouse, and Data Warehouse for large-scale workloads.

Ideal candidates bring 12-18+ years in data architecture, proven experience with Azure Data Platform, Databricks, and Snowflake, and strong SQL/NoSQL skills to support AI/GenAI use cases and

Qualifications

• 12-18+ years of experience in Data Architecture / Data & Analytics.
• Strong experience in Enterprise Data Architecture and large-scale transformation programs.
• Hands-on architecture experience with Azure Data Platform.
• Strong Databricks architecture experience.
• Strong Snowflake architecture experience.
• Experience with Data Lake / Lakehouse / Data Warehouse architecture.
• Strong SQL and NoSQL database knowledge.

Responsibilities

• Define and drive enterprise data architecture, strategy, standards, and roadmap aligned with business objectives.
• Architect scalable data platforms: Data Lake, Lakehouse, DW, and cloud architectures for enterprise workloads.
• Develop data architecture for AI/GenAI use cases including RAG, vector search, embeddings, and unstructured data processing.
• Design batch and real-time data pipelines using modern data integration and streaming technologies.
• Define architecture for ingestion, integration, APIs, metadata, data quality, governance, and data lineage.

Skills

Enterprise Data Architecture

Large-scale transformation programs

Azure Data Platform

Databricks architecture

Snowflake architecture

SQL & NoSQL

Tools

Azure Data Factory

Databricks

Snowflake

Apache Spark

Job description

Roles & Responsibilities

• Define and drive enterprise data architecture, strategy, standards, and roadmap aligned with business and digital transformation objectives.
• Architect scalable modern data platforms supporting structured, semi-structured, and unstructured data. Design Data Lake, Lakehouse, Data Warehouse, and cloud data architectures for enterprise-scale workloads.
• Develop data architecture for AI/GenAI use cases, including RAG, vector search, embeddings, knowledge repositories, and unstructured data processing.
• Design batch and real-time data pipelines using modern data integration and streaming technologies.
• Define architecture for data ingestion, integration, APIs, metadata, data quality, governance, security, and lineage.

Must-Have Skills

• 12-18+ years of experience in Data Architecture / Data & Analytics.
• Strong experience in Enterprise Data Architecture and large-scale transformation programs.
• Hands-on architecture experience with Azure Data Platform.
• Strong Databricks architecture experience.
• Strong Snowflake architecture experience.
• Experience with Data Lake / Lakehouse / Data Warehouse architecture.
• Strong SQL and NoSQL database knowledge.