Senior Snowflake Data Architect - Remote, Multi-Cloud Lead

Executive Staff Recruiters / ESR Healthcare; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

ESR Healthcare is seeking a Senior Data Architect to lead data architecture, governance, modeling, and analytics initiatives within a Snowflake environment. This remote role requires strong expertise in Snowflake architecture, enterprise data strategy, data security, and performance optimization.

You will design scalable, secure data platforms supporting analytics and ML across multi-cloud environments. The candidate will provide technical leadership, collaborate with data engineering,

Qualifications

• Senior-level experience in data architecture and enterprise data strategy.
• Strong hands-on Snowflake architecture and administration.
• Expertise in data modeling (enterprise and dimensional).
• Knowledge of data governance, security, and data management best practices.

Responsibilities

• Design scalable data architecture solutions using Snowflake and multi-cloud data platforms.
• Lead Snowflake architecture, administration, configuration, and optimization.
• Develop and maintain enterprise data models (conceptual, logical, physical).
• Establish data governance frameworks and best practices.
• Define data security strategies and access controls.
• Collaborate with data engineering, analytics, machine learning, and business teams.

Skills

Senior data architecture experience

Data governance & security

Data modeling (enterprise &dimensional

ML/Analytics understanding

Multi-cloud data platforms

Communication & problem-solving

Tools

Snowflake Architecture

Snowflake Administration

Snowflake Data Sharing

Data platform optimization

Job description

ESR Healthcare is seeking a Senior Data Architect to lead data architecture, governance, modeling, and analytics initiatives within a Snowflake environment. This remote role requires strong expertise in Snowflake architecture, enterprise data strategy, data security, and performance optimization.

You will design scalable, secure data platforms supporting analytics and ML across multi-cloud environments. The candidate will provide technical leadership, collaborate with data engineering,