Overview
Location: Noida
Experience: 10+ Years
About the Role:
We are looking for an experienced Data Architect to lead the assessment, design, modernization, and optimization of enterprise-scale data platforms, with a strong focus on Snowflake.
The ideal candidate will combine strong architecture expertise with hands-on technical knowledge and excellent client-facing skills. You will work closely with engineering teams, business stakeholders, and senior leadership to define target-state architectures, develop modernization roadmaps, and guide implementation.
This role is ideal for someone who can translate complex business requirements into scalable, secure, governed, cost-efficient, and AI-ready data solutions.
Responsibilities
Key Responsibilities:
Lead the architecture, assessment, and modernization of enterprise Snowflake data platforms.
Define current-state and target-state architectures covering data ingestion, transformation, storage, orchestration, governance, security, and consumption.
Assess existing Python, SQL,



and stored-procedure-based data pipelines and identify opportunities for modernization.
Analyze Snowflake usage, performance, and cost metrics to establish optimization strategies.
Identify and address data engineering and architectural challenges such as inefficient processing, unnecessary full refreshes, warehouse sizing, redundant transformations, and workload isolation.
Design and implement up-to-date data processing patterns using Dynamic Tables, Streams & Tasks, Snowpark, dbt, and appropriate orchestration technologies.
Design scalable data models, governed data domains, semantic layers, and context models supporting analytics and AI use cases.
Architect solutions using Snowflake Cortex, including Cortex Analyst, Cortex Search, and Cortex LLM capabilities.
Establish standards for data security, access control, governance, lineage, observability, performance, resilience, and business continuity.
Design cloud-native, lakehouse, batch, and real-ti

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