Data And Cloud Solutions Architect / Data Architect

Data and Cloud Solutions Architect / Data Architect 
San Jose, CA (Day 1 On-Site) 
Long Term

Must Have: 
~Bachelor's of Engineering in Computer Science
~Exp in Data Architect & Data Structures: 10+ years

~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.

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

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).

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.

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