Azure Data Architect - Onsite in Fremont, CA

Overview:
Dataflix is seeking an experienced Azure Data Architect to design, implement, and manage enterprise data solutions. The ideal candidate will play a key role in modernizing our data infrastructure, driving data strategy, and enabling advanced analytics and AI capabilities. This position requires a deep understanding of cloud data architecture, big data technologies, and data governance frameworks.

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.