We are Hiring: Snowflake Architect
Location: NYC, NY (⚠️ 3 Days Onsite is a MUST)
Duration: 12 Months
About the Role:
We are looking for a seasoned Data Architect to lead our Snowflake and Postgres distributed database platforms. You will drive modernization, automation, and performance optimization—architecting a "gold" data source to power advanced analytics, Business Intelligence, and AI agent workflows in a hybrid cloud ecosystem.
What You’ll Do:
Architect and manage large-scale Snowflake & Postgres databases across hybrid clouds (AWS/Azure).
Build automation frameworks (Python/Ansible) for provisioning, scaling, and monitoring.
Design schemas and data pipelines that seamlessly integrate with BI, Analytics, and AI/ML capabilities.
Establish strict data governance, quality standards, and disaster recovery strategies.
Mentor engineers and drive the adoption of next-gen data platforms (knowledge graphs, data fabrics).
REQUIRED KEY SKILLS:
Databases: Deep hands-on expertise in Snowflake & PostgreSQL (administration, tuning, design patterns).
AI/ML Integration: Experience with Snowflake Cortex, Snowpark, Snowflake ML, and designing solutions for RAG (Retrieval-Augmented Generation) & Vector Search.
Cloud: Strong background in AWS and Azure hybrid-cloud data architectures.
Automation: Strong scripting skills using Python, Ansible, etc.
Ecosystem: Experience with Databricks, Spark, Talend, Power BI, and/or Microsoft Fabric.
Experience: 10+ years in Data Architecture/Engineering, handling both structured and unstructured data at an enterprise scale.
Qualifications:
Bachelor’s degree required (Master’s in CS/Engineering preferred).
Proven track record of delivering large-scale data warehouse modeling in a regulated, Agile SDLC environment.
Exceptional leadership skills with the ability to influence executive stakeholders.
📩 How to Apply:
If you have the right mix of database architecture, cloud expertise, and AI/ML integration experience, we want to hear from you! Apply directly through the link or message me your resume.
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