Data Architect (Cloud Architect) - San Jose, CA Onsite

Dice is the leading career destination for tech experts at every stage of their careers. Our client, INUIX Consulting, is seeking the following. Apply via Dice today! Hello All, We are hiring Role: Data Architect (Cloud Architect) - San Jose, CA Onsite Title: Data and Cloud Solutions Architect (contract role) Location: San Jose, CA (100% on-site) 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. Core Responsibilities • Cloud Data Architecture Design & Strategy: • Design and implement secure, scalable cloud-based data pipelines, data warehouses, and data lakes. • Drive the selection and integration of cloud data services (e.g., storage, databases, analytics tools). • Develop comprehensive cloud data strategies in alignment with business goals. • Diagramming & Documentation: • Produce clear and informative visual diagrams (e.g., 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. Required Qualifications • 4 Year Bachelor's degree in Computer Science • Minimum of 5 years of hands-on data engineering experience using distributed computing approaches (Spark, Map Reduce, 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 (e.g., DataBricks, Azure Data Lake). • Expertise in big data technologies (e.g., Hadoop, Spark). • Strong understanding of data security and governance principles. • Experience in scripting languages (Python, SQL).