Data and Cloud Solutions Architect

Title: Data and Cloud Solutions Architect 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. Must Have: ~Bachelor's of Engineering in Computer Science "Engineering degree in another branch such as Electrical, Civil, Mechanical, or IT, etc it will not be considered" ~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). 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. Required: 1.Education: - Bachelors of Engineering in Computer Science only. -Degrees in other engineering branches (Electrical, Civil, Mechanical, IT, etc.) are explicitly not acceptable. 2.Hands-on Experience: -Minimum of 5 years in data engineering with experience in distributed computing frameworks such as Spark, MapReduce, or DataBricks. -Proven experience in designing and implementing cloud-based data solutions specifically in Azure. 3.Technical Competencies: -Data modeling expertise (deep understanding of concepts and techniques). -Strong proficiency with relational and non-relational database systems. -Exceptional diagramming skills using tools like Visio, Lucidchart, or similar for data flows, ER diagrams, and architecture visuals.