Overview

Position: Azure Data Architect

Location: San Jose, CA From Day 1 Onsite

Duration: 1 Year

Education: any country does not matter but has to have a degree in Computer Science

Job Description: The Data and Cloud Solutions Architect will be a key contributor to designing, evolving, and optimizing our company's cloud-based data architecture. This role requires a strong background in data engineering, hands-on experience building cloud data solutions, and a talent for communicating complex designs through clear diagrams and documentation. Must work PST hours.

Responsibilities

• Design and implement secure, scalable cloud-based data pipelines, data warehouses, and data lakes.
• Drive the selection and integration of cloud data services (eg, storage, databases, analytics tools).
• Develop comprehensive cloud data strategies in alignment with business goals.

Diagramming & Documentation

• Produce clear and informative visual diagrams (eg, data flow diagrams, entity-relationship diagrams, system architecture diagrams) to guide implementation and knowledge sharing.
• Maintain detailed documentation of data architecture, design decisions, and processes.

Hands-on Implementation & Optimization

• Actively contribute to the hands-on implementation of cloud data solutions.
• Proactively identify and implement performance optimization strategies for cloud data systems.
• Troubleshoot and resolve issues related to data pipelines, data quality, and data accessibility.

Qualifications

• Required: 4 Year Bachelor's degree in Computer Science
• Minimum of 5 years of hands-on data engineering experience using distributed computing approaches (Spark, MapReduce, DataBricks)
• Proven track record of successfully designing and implementing cloud-based data solutions in Azure
• Deep understanding of data modeling concepts and techniques
• Strong proficiency with database systems (relational and non-relational)
• Exceptional diagramming skills with tools like Visio, Lucidchart, or other data visualization software

Preferred Qualifications

• Advanced knowledge of cloud-specific data services (eg, DataBricks, Azure Data Lake)
• Expertise in big data technologies (eg, Hadoop, Spark)
• Strong understanding of data security and governance principles
• Experience in Scripting languages (Python, SQL)

Additional Skills

• Communication: Exemplary written and verbal communication skills to collaborate effectively with all teams and stakeholders
• Problem-solving: Outstanding analytical and problem-solving skills for complex data challenges
• Teamwork & Leadership: Ability to work effectively in cross-functional teams and demonstrate potential for technical leadership