Senior Data Architect Snowflake & Cloud Data Platforms

Tranzeal, Inc.; Sacramento (CA); On-site; USD 170,000 - 230,000; Full time

Job summary

Tranzeal, Inc. is seeking a Senior Data Architect to design scalable Snowflake-based data platforms and cloud-native solutions. You will lead end-to-end data architecture, ETL pipelines, and governance.

Collaborate with stakeholders and engineers to enable AI/ML capabilities, ensure security and performance across data warehouses, lakes, and lakehouses, and deliver analytics-ready data for the business. This role requires strong communication skills and a track record of delivering complex data

Qualifications

• Bachelor’s degree in Computer Science or a related field.
• At least 10 years of relevant experience in data architecture or analytics.
• Strong ETL development experience with hands-on Snowflake expertise.
• Experience with modern data platforms such as Matillion, Microsoft Fabric, Power BI and Tableau.
• Expertise in data warehousing, data lakes/lakehouses, data integration, and cloud-native architecture.

Responsibilities

• Design end-to-end data architectures, including data warehouses, lakes, lakehouses, and analytics platforms.
• Develop and optimize ETL/ELT pipelines and data integrations 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.

Skills

ETL development

Snowflake

Data architecture

Cloud data platforms

Communication & stakeholder mgmt

Education

Bachelor’s degree in Computer Science or related field

Tools

Matillion

Microsoft Fabric

Power BI

Tableau

Snowflake

Job description

++Senior Data Architect Snowflake & Cloud Data Platforms++

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.

Key Responsibilities

• 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.

Required Qualifications

• 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.