Haystack
← Back to Jobs
Technology

Snowflake DATA Architect New york city - NY - New York

Sierra Business Solution LLCNew York, NY🇺🇸United StatesPosted 13 Aug 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

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

Skills

SQL
AWS
Snowflake
Agile
Ansible
Azure
Databricks
PostgreSQL
Power BI
Python

Similar jobs