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# Azure Data Architect

- **Company:** DataFlix Inc.
- **Location:** Hayward, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Microsoft Azure, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Warehousing, PostgreSQL, Metadata, Microsoft SQL Server, Oracle (Applications), Cloud Platform System, Azure Data Factory, Snowflake, Data Strategy, Data Lakes, Data Management, Physical Data Models, Databricks
- **Published:** October 12, 2026
- **Apply:** https://www.dice.com/job-detail/ff1b04d5-fcf1-4087-b7ab-233b3ebfb5a4

## About the Role

* 12+ years in Data Architecture, Data Engineering, or Data Warehousing.
 * Strong expertise in Azure Data Platform (ADF, Synapse, ADLS, Databricks).
 * Deep experience with Snowflake Architecture & Administration.
 * Strong database expertise in SQL Server, Oracle, PostgreSQL, or similar platforms.
 * Expertise in Data Modeling, Data Warehousing, ETL/ELT, and Data Governance.
 * Experience with enterprise-scale analytics and reporting environments.
 * Strong stakeholder management and communication skills.

<>Preferred

 * Financial Services industry experience.
 * Experience with DBT, Informatica, Matillion, or similar tools.
 * Azure and/or Snowflake certifications.
 * Exposure to AI/ML and modern data platform initiatives.

This is a senior, hands-on architecture role focused on enterprise data strategy, governance, and cloud data platform architecture.

## Description

* Define and maintain enterprise data architecture standards and roadmaps.
 * Design scalable data platforms, data lakes, and data warehouses on Azure and Snowflake.
 * Develop conceptual, logical, and physical data models.
 * Lead data governance, metadata, lineage, security, and data quality initiatives.
 * Partner with business, analytics, engineering, and architecture teams to deliver enterprise data solutions.
 * Guide cloud migration and data modernization programs.
 * Provide technical leadership and mentorship to data engineering teams.