Overview
Seeking a hands-on Senior Data Architect to lead enterprise-level data architecture, governance, modeling, and analytics within a Snowflake-centric, multi-cloud environment.
Key Responsibilities
* Snowflake Leadership: Design, administer, configure, optimize, and secure Snowflake architectures, data sharing, and workloads.
* Data Modeling: Develop and maintain conceptual, logical, and physical data models.
* Governance & Security: Establish data governance, quality, metadata, lineage, and access-control standards.
* Collaboration: Partner with data engineers, data scientists, and business stakeholders to support analytics and ML initiatives.
Required Qualifications
* 8+ years in data architecture, data engineering, or related fields.
* Strong hands-on expertise in Snowflake architecture, administration, and performance/cost optimization.
* Extensive background in data modeling and enterprise data architecture.
* Solid understanding of data governance, quality, lineage, and security.
* Strong communication skills and ability to work independently in a remote/EST environment.
Tech Stack & Core Skills
- Snowflake: Architecture, Administration, Data Sharing, Performance & Cost Optimization, Security, Access Controls
- Data Architecture & Cloud: Enterprise Architecture, Cloud Data Platforms, Multi-Cloud (AWS, Azure, GCP), Data Integration, CI/CD, Infrastructure-as-Code
- Data Modeling: Conceptual, Logical, Physical, Dimensional Modeling
- Data Governance: Data Quality, Metadata, Data Lineage, Master/Reference Data
- Analytics & Machine Learning: Enterprise Analytics, BI/Reporting, ML Data Architecture & Enablement