Cloud architect

Cloud architect

Location: San Jose CA

The Cloud Data Architect will be a key contributor to designing evolving and optimizing our companys cloudbased data architecture. This role requires a strong background in data engineering handson 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 cloudbased 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 entityrelationship diagrams system architecture diagrams) to guide implementation and knowledge sharing.
Maintain detailed documentation of data architecture design decisions and processes.
Handson Implementation & Optimization:
Actively contribute to the handson 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
Bachelors degree in Computer Science Data Science Information Systems or a related field.
Minimum of 5 years of handson data engineering experience using distributed computing approaches (Spark Map Reduce DataBricks)
Proven track record of successfully designing and implementing cloudbased data solutions in Azure
Deep understanding of data modeling concepts and techniques.
Strong proficiency with database systems (relational and nonrelational).
Exceptional diagramming skills with tools like Visio Lucidchart or other data visualization software.
Preferred Qualifications
Advanced knowledge of cloudspecific 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.
Problemsolving: Outstanding analytical and problemsolving skills for complex data challenges.
Teamwork & Leadership: Ability to work effectively in crossfunctional teams and demonstrate potential for technical leadership.