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# Senior Data Architect Snowflake & Cloud Data Platforms

- **Company:** Tranzeal, Inc.
- **Location:** Sacramento, CA, United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Microsoft Azure, Cloud Engineering, Data Architecture, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Warehousing, Performance Tuning, Power BI, Cloud Services, Tableau (Software), Snowflake, Generative AI, Microsoft Fabric, Data Lakes, Information Technology, Data Pipelines
- **Published:** October 14, 2026
- **Apply:** https://www.dice.com/job-detail/3f42c04f-b608-48eb-adc0-0101a56c08bd

## About the Role

* Bachelor's degree in Computer Science or a related field and 10+ years of relevant experience.
 * Strong ETL development experience with hands-on Snowflake expertise.
 * Experience with modern data platforms and tools such as Matillion, Microsoft Fabric, Power BI, and Tableau.
 * Expertise in data warehousing, data lakes/lakehouses, data integration, and cloud-native architecture.
 * Azure cloud experience preferred; knowledge of data governance, security, and data quality required.
 * Excellent communication, stakeholder management, and solution architecture skills.

## Description

We are seeking a Senior Data Architect with strong ETL development and Snowflake experience to design and implement scalable, secure, cloud-native data solutions. The role involves defining data architecture, optimizing data pipelines, enabling analytics and AI capabilities, and aligning solutions with business and enterprise technology requirements., * Design end-to-end data architectures, including data warehouses, lakes, lakehouses, and analytics platforms.

 * Develop and optimize ETL/ELT pipelines, data integration, and transformation workflows using Snowflake and modern data tools.
 * Define cloud data architecture standards, governance, security, and performance optimization strategies.
 * Collaborate with business stakeholders, engineering teams, and vendors to deliver scalable data solutions.
 * Enable advanced analytics, AI/ML, and Generative AI capabilities through modern data platforms.