Data Architect
hace 15 horas
San Jose
Title: Data Architect Location: San Jose, CA Pay rate: $63/hr Description: The Data 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 EST hours.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., • Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field., • 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)., • 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., • 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.