Snowflake Data Architect Position Available In Fulton, Georgia

Snowflake Data Architect [Atlanta, GA, 30377] | 2025-04-24 18:02:21

Job Description Position :

: Snowflake Data Architect Occasional onsite – Local to Richmond, VA or Atlanta, GA

MUST HAVE

Recent Snowflake experience
Experience with Azure Data Factory
15+ years of experience in data architecture, data modeling, and data governance.
Strong expertise in dimensional modeling (Kimball/Inmon).
Experience in ontology and taxonomy design and Proficiency in SQL, Python, and dbt (Data Build Tool) Job 

Summary:

 We are seeking an experienced Snowflake Data Architect to lead the design and implementation of scalable enterprise data warehouses (EDW) while establishing strong ontology and taxonomy frameworks. The ideal candidate will have deep expertise in data modeling, metadata management, and data governance to ensure seamless data integration and accessibility across the organization. Enterprise Data Warehouse (EDW) Design & Modeling Architect, develop, and optimize data warehouse solutions in Snowflake for large-scale enterprise applications.
Design and implement dimensional and relational data models, ensuring scalability, efficiency, and maintainability.
Define best practices for schema design, partitioning, clustering, and indexing in Snowflake.
Develop ETL/ELT pipelines in collaboration with data engineers to streamline data ingestion and transformation processes. Ontology and Taxonomy Development Define and implement ontology frameworks to establish relationships between data entities.
Develop and manage data taxonomies to standardize data classification and metadata organization.
Collaborate with business stakeholders to create a semantic layerthat improves data discoverability and usability.
Ensure alignment with industry standards (e.g., FIBO, CDISC, schema.org) for data classification. Metadata Management & Data Governance Implement data cataloging solutions to enhance metadata documentation and lineage tracking.
Define data governance policies, including data security, access controls, and compliance.
Work closely with data stewards, analysts, and engineers to ensure consistent data definitions and quality across the organization.
Establish automated workflows for data classification, tagging, and access provisioning. Performance Optimization & Best Practices Optimize Snowflake compute and storage costs through clustering strategies, caching, and workload management.
Implement monitoring tools to track query performance, storage consumption, and concurrency.
Advocate for CI/CD practices, Infrastructure as Code (IaC), and automation in Snowflake deployments.

Please Note:

As of July 22, 2021, our team will require that all candidate submissions include a LinkedIn profile. Please do not submit any candidates that do not have a LinkedIn. Snowflake Data Architect1SQL, Python, data warehouses, Data Warehouse, etl, Documentation, Best Practices, Data Governance, Data Modeling, EDW, Large-Scale, Metadata, Clustering, Performance Optimization, data integration, Semantic, Data Architecture, Provisioning, Usability, Caching, TAXONOMY C2CUnited States