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Senior Data Architect Snowflake & Cloud Data Platforms

Tranzeal, Inc.Sacramento, CA🇺🇸United StatesPosted Oct 14, 2026

Why This Role Stands Out

Advance your career as a Senior Data Architect by designing and implementing cutting-edge cloud-native data solutions with Snowflake, offering hybrid flexibility and significant growth potential. This role is perfect for experienced data professionals with strong ETL and Snowflake expertise who thrive on building scalable, secure, and innovative data platforms. Apply today to shape the future of data at Tranzeal, Inc.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Sacramento, CA, United States
Posted
14 hours ago
ETLSnowflakeTableauAzureGenerative AIPower BIStakeholder Management

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.

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