Snowflake Data Architect - New York , NY -Face to Face Round of Interview

Role : Snowflake Data Architect

Location : New York , NY (Need to come to office Face to Face Round of Interview)

Duration : 6 Months
Max Pay Rate : C2C : $55-60/hr  || W2 : $50-55/hr

Role description :

• Design, implement, and manage large-scale distributed database systems using Snowflake and Postgres.
• Lead the architecture and deployment of database clusters across hybrid cloud environments (AWS, Azure).
• Develop and maintain automation frameworks for provisioning, monitoring, and scaling database infrastructure.
• Collaborate with data engineering, platform, and application teams to ensure high availability, security, and performance.
• Drive adoption of best practices for schema design, query optimization, and data lifecycle management.

• Implement robust backup, disaster recovery, and compliance strategies.
• Mentor junior engineers and contribute to cross-training initiatives across database technologies.
• -Govern how both structured and unstructured data is ingested, processed, and engineered for context.
• -Ensure high availability, disaster recovery, and performance tuning across multi-region deployments.
• -Collaborate with senior product, engineering, and audit leadership to influence business strategy and ensure solutions are built on a sound architectural foundation.
• -Architect and oversee the design and development of data and context engineering capabilities using Snowflake and PostgreSQL.

• Make critical design decisions that enable seamless integration into Data Analytics, Business Intelligence Reporting, and Al agent workflow capabilities.
• Establish and enforce data governance, quality standards, and validation frameworks.
• Guarantee the integrity, security, and reliability of all data solutions.
• Drive modernization initiatives including cloud-native database adoption, serverless architecture, and Al/ML integration.
• Evaluate and implement emerging technologies to improve platform efficiency and developer experience.
• Drive the future of audit technology by leading architectural innovation.
• Champion the evaluation and adoption of next-generation data platforms, knowledge graphs, and advanced data fabrics.
• Act with integrity, professionalism, and personal responsibility to uphold respectful and courteous work environment.

Qualifications :

• -Minimum 10 years of recent experience in data architecture, data engineering, or a similar field.
• -Hands-on expertise with PostgreSQL and Snowflake administration and performance tuning.
• -Strong scripting and automation skills (Python, Ansible, etc.).
• -Familiar with Cloud Based Architectures/Data-Warehousing Platforms, prior experience/knowledge in Snowflake Design Patterns and migration workflow would be a plus.
• -Prior exposure building ML and generative Al solutions using Snowflake Cortex Analyst, Search, Al-SQL, Snowflake ML, and Snowpark Container Services.
• -Proven record of architecting and delivering large-scale data warehouse modeling and reporting solutions for enterprise systems.
• -A bachelor's degree from an accredited college or university is required. A master's degree in computer science, engineering, or a related technical discipline is preferred.
• -Expertise in architecting cloud-native data ecosystems using platforms such as Snowflake, Databricks, Talend, SPARK, Power BI, and Microsoft Fabric.
• -Deep knowledge of designing solutions that incorporate Retrieval-Augmented Generation (RAG) and vector search (e.g., Azure Al Search).
• -In-depth understanding of architectural patterns for processing and modeling both structured transactional data and unstructured information.
• -Experience with transactional processing and AI/ML applications.
• -Demonstrated experience defining architectural principles, data governance policies, and technology regulated and Agile Software Development Life Cycle (SDLC)
• -Demonstrated experience defining architectural principles, data governance policies, and technology standards within a large-scale, regulated, and Agile Software Development Life Cycle (SDLC) environment.
• -Exceptional problem-solving, communication, collaboration and leadership skills.
• -Ability to articulate strategic technical vision, influence executive-level stakeholders, and guide solutions for complex business problems.