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Senior Data Architect Snowflake & Cloud Data Platforms

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Onsite

Senior Data Architect Snowflake & Cloud Data Platforms

Tranzeal Incorporated

Senior Data Architect Snowflake & Cloud Data Platforms

Skills

TableauSnowflakeData AnalysisMachine LearningAIPower BIAzure

12 days ago

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Important information


Contract type:

Freelance / Contract

Location:

Sacramento, CA, USA

Work mode:

Onsite

Published on:

16 October 2026

What they need


Required Skills: ETL development, Snowflake, Matillion, Microsoft Fabric, Power BI, Tableau, data warehousing, data lakes, lakehouses, data integration, cloud-native architecture

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.

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