Senior Data Architect Snowflake & Cloud Data Platforms
Tranzeal, Inc.
Sacramento, CA, United States
11 days ago
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Role details
Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source
Tech stack
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
+8 more
Cloud Services
Tableau (Software)
Snowflake
Generative AI
Microsoft Fabric
Data Lakes
Information Technology
Data Pipelines
Job 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.
Requirements
- 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.
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