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 contemporary 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, la
📌 Data Architect (India)
🏢 Ibex
📍 India