Snowflake Architect/Lead

Remote in Jersey City, NJ, US • Posted 48 minutes ago • Updated 34 minutes ago
Full Time
Part Time
On-site
$Open
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Data Lake
  • Analytics
  • Real-time
  • Artificial Intelligence
  • Data Governance
  • Encryption
  • Security Controls
  • Business Analytics
  • Scalability
  • Advanced Analytics
  • Predictive Modelling
  • Development Testing
  • Database
  • Data Engineering
  • Data Architecture
  • Performance Tuning
  • Optimization
  • Data Warehouse
  • Dimensional Modeling
  • SQL
  • Python
  • Extract
  • Transform
  • Load
  • ELT
  • Data Integration
  • Management
  • Snow Flake Schema
  • Information Security Governance
  • Access Control

Summary

Position: Snowflake Architect/Lead

Location: Remote

Duration: Contract opportunity

Job Description:

  • Design and implement scalable Snowflake architectures for data warehouse, data lake, and data sharing solutions.
  • Develop data models and analytics-ready datasets.
  • Build and oversee batch and near real-time ETL/ELT pipelines.
  • Implement Bronze, Silver, and Gold data layers.
  • Configure and manage Snowflake Data Sharing and advanced Snowflake capabilities (including Cortex AI).
  • Establish data governance, masking, encryption, and security controls.
  • Partner with business, analytics, and engineering teams to deliver data solutions.
  • Evaluate and adopt new Snowflake features to improve performance, scalability, and cost efficiency.
  • Support advanced analytics, predictive modeling, and anomaly detection initiatives.
  • Administer Snowflake environments across development, testing, and production.
  • Manage databases, schemas, warehouses, users, roles, and resource monitors.
  • Monitor platform performance, availability, and usage costs.

Required:

  • 8+ years of experience in Data Engineering, Data Architecture, or Data Platform roles.
  • 4+ years of hands-on Snowflake architecture and administration experience.
  • Strong expertise in Snowflake architecture, performance tuning, and cost optimization.
  • Experience with data warehousing concepts and dimensional data modeling.
  • Advanced SQL skills.
  • Experience with Python.
  • Knowledge of ETL/ELT design and data integration processes.
  • Experience managing Snowflake security, governance, and access controls.
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: 10123174
  • Position Id: 2026-13798
  • Posted 48 minutes ago
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