Data and Cloud Solutions Architect

Hello;

Title: Data and Cloud Solutions Architect

Location is San Jose, CA Onsite locals only

Long Term

Notes:

This is 100% Onsite role in San Jose , CA

Required :

1.Education:

- Bachelor's 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.

JD:

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.

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, Lucid chart, 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.