Azure Data Architect - Onsite in Fremont, CA

Overview

On Site
Depends on Experience
Full Time
No Travel Required

Skills

azure
etl
data architecture

Job Details

Responsibilities:

  • Design and implement scalable, secure, and high-performance data architectures on Microsoft Azure.
  • Lead data strategy development, including cloud migration, modernization, and integration initiatives.
  • Collaborate with stakeholders to gather business and technical requirements.
  • Build and maintain data models, data lakes, data warehouses, and data pipelines using Azure services such as: Azure Synapse Analytics, Azure Data Lake Storage (Gen2), Azure Databricks, Azure Data Factory, Azure SQL Database / Azure Cosmos DB.
  • Ensure data solutions adhere to best practices in data governance, security, and compliance.
  • Guide and mentor data engineers and developers on cloud-native design patterns and best practices.
  • Evaluate emerging technologies and provide recommendations for data architecture improvements.
  • Optimize data workflows for performance, scalability, and cost-efficiency.

Requirements:

  • Bachelor's or Master s degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • 7+ years of experience in data architecture, with 5+ years specifically in Azure cloud data services.
  • Strong experience in data modeling, ETL/ELT, and data integration patterns.
  • Proficient with Azure services such as Azure Synapse, Data Factory, Data Lake, Databricks, and Logic Apps.
  • Knowledge of programming languages such as SQL, Python, Scala, or Spark.
  • Familiarity with DevOps and CI/CD for data solutions using tools like Azure DevOps or GitHub Actions.
  • Experience with data governance tools and frameworks (e.g., Purview, GDPR, HIPAA compliance).
  • Strong communication and stakeholder management skills.
  • Background in analytics, machine learning, or AI integration is a plus.
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