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# Data Architect in San Jose

- **Company:** Energy Jobline
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Salary:** $135,200.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Big Data, Cloud Database, Data as a Services, Data Architecture, Information Engineering, Data Transformation, Data Systems, Distributed Computing Environment, Python (Programming Language), Metadata, Meta-Data Management, SQL Databases, Apache Spark, Data Lakes, Information Technology, Data Pipelines, Databricks
- **Published:** August 1, 2026
- **Apply:** https://www.energyjobline.com/job/data-architect-san-jose-31300673

## About the Role

* 4-year Bachelor's degree in Computer Science (strict requirement).
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 * 7+ years of professional experience in data engineering, architecture, or enterprise analytics platforms, including at least 3+ years focused on cloud data architecture.
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 * Proven experience designing and implementing Azure-based data solutions, including Data Lake, Data Factory, Synapse, and Databricks.
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 * Strong understanding of data modeling, schema design, and metadata management within large-scale data platforms.
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 * Hands-on expertise with distributed data processing frameworks such as Spark and Databricks.
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 * Demonstrated ability to produce and maintain clear architectural documentation and system diagrams.
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 * Proficiency in Python and SQL for pipeline development, data transformation, and automation.
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## Description

The Senior Cloud Data Architect is a hands-on role responsible for designing, evolving, and optimizing the organization's cloud-based data architecture. This individual will shape the technical foundation for scalable, secure, and well-governed data systems that power analytics, AI, and enterprise intelligence., As an individual contributor, the architect partners closely with data engineers, analysts, product teams, and cloud specialists to design end-to-end solutions-spanning ingestion, transformation, storage, metadata, and consumption. The ideal candidate brings deep technical expertise in data architecture, metadata design, and cloud- data services, coupled with a keen ability to translate complex requirements into elegant, maintainable designs.


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