Data Architect

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.

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 modern 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-time data architectures across AWS, Azure, or GCP.
• Evaluate and recommend Snowflake Iceberg Tables and other open data architecture patterns.
• Develop prioritized optimization backlogs and implementation roadmaps based on business impact, technical risk, cost, performance, and effort.
• Provide technical leadership across multiple projects and guide engineering, analytics, QA, and DevOps teams.
• Lead client discovery workshops and technical discussions with stakeholders and subject-matter experts.
• Present architecture decisions, assessment findings, business impact, and roadmap recommendations to technical and executive audiences.
• Maintain architecture diagrams, technical documentation, decision records, and platform standards.