Data Architect_Remote

We are seeking a highly skilled and experienced Data Architect with strong expertise in data modeling and Snowflake to design, develop, and optimize enterprise data architecture. The ideal candidate will play a critical role in shaping data strategy, building scalable models, and ensuring efficient data integration and governance.

Key Responsibilities:

Design and implement end-to-end data architecture using Snowflake
Develop and maintain conceptual, logical, and physical data models.
Define and enforce data architecture standards, best practices, and policies.
Collaborate with data engineers, analysts, and business stakeholders to gather requirements and design data solutions.
Optimize Snowflake performance including data partitioning, caching, and query tuning.
Create and manage data dictionaries, metadata, and lineage documentation.
Ensure data quality, consistency, and security across all data platforms.
Support data integration from various sources (cloud/on-premises) into Snowflake.
Required Skills and Experience:

8+ years of experience in data architecture, data modeling, or similar roles.
Hands-on expertise with Snowflake including Snowpipe, Streams, Tasks, and Secure Data Sharing.
Strong experience with data modeling tools (e.g., Erwin, ER/Studio, dbt).
Proficiency in SQL, ETL/ELT pipelines, and data warehousing concepts.
Experience working with structured, semi-structured (JSON, XML), and unstructured data.
Solid understanding of data governance, data cataloging, and security frameworks.
Excellent analytical, communication, and stakeholder management skills.
Preferred Qualifications:

Experience with cloud platforms like AWS, Azure, or GCP.
Familiarity with data lakehouse architecture and real-time data processing.
Snowflake Certification(s) or relevant cloud certifications.
Knowledge of Python or scripting for data automation is a plus.