Snowflake DATA Architect New york city - NY - New York

New york city, NY, US • Posted 3 hours ago • Updated 3 hours ago
Contract W2
Contract Corp To Corp
12 Months
On-site
$65 - $65/hr
Fitment

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Job Details

Skills

  • Snowflake
  • Data Architect

Summary

REQUIREMENT_CITY - New York-Need to come to office Face to Face Round of Interview

REQUIREMENT_ID-10918818

Role Name - Snowflake Data Architect

ROLE_DESCRIPTION -

Job Description Snowflake Data Architect

- 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 AlML 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 ArchitecturesData-Warehousing Platforms, prior experienceknowledge 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 bachelors degree from an accredited college or university is required. A masters 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 AIML 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.

Skills: Digital : Zscaler Cloud Security ServicesEIS : Network Engineer

Experience Required: 8-10

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90911958
  • Position Id: 9055013
  • Posted 3 hours ago
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