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Snowflake Data Architect
Job Location:
Job Location:
Dallas, IA - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
27 October 2026 (10 hours ago)
Posted:
Application Deadline:
24 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
| The Data Architect works in all data environments which includes data design database architecture metadata and repository creation. The Data Architect work assignments are varied and frequently require interpretation and Consultant determination of the appropriate courses of action. |
| The Data Architect responsible for developing blueprints for all data repositories evaluating hardware and software platforms and integrating systems. Translates business needs into long-term data architecture solutions. Defines designs and builds dimensional database schemas. Evaluates reusability of current data for separate analyses. Conducts data sheering to rid the system of old unused or duplicate data. Reviews object and data models and the metadata repository to structure the data for better management and quicker access. Understands department segment and organizational strategy and operating objectives including their linkages to related areas. Makes decisions regarding own work methods occasionally in ambiguous situations and requires minimal direction and receives guidance where needed. Follows established guidelines/procedures. |
| Data Architecture & Strategy |
| Define and maintain enterprise data architecture standards principles and roadmaps. |
| Design scalable data platforms supporting analytics reporting AI/ML and operational workloads. |
| Develop conceptual logical and physical data models for enterprise applications. |
| Establish architecture patterns for data integration master data management and data quality. |
| Cloud Data Platform Leadership |
| Lead the design and implementation of cloud-based data platforms using technologies such as Snowflake Prefect Google Cloud Platform (Eligible to workP) Azure and Databricks |
| Define best practices for data storage processing orchestration and security. |
| Guide migration of on-premises data assets to cloud environments. |
| Data Engineering & Integration |
| Architect batch real-time and event-driven data pipelines. |
| Design solutions for API integrations ETL/ELT frameworks and data virtualization. |
| Ensure high-performance and scalable ingestion transformation and consumption of data. |
| Governance & Compliance |
| Partner with Data Governance teams to establish metadata management lineage stewardship and data quality frameworks. |
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Required Experience:
Staff IC
