Data and Cloud Solutions Architect

Total Experience: 10 years
Exp in Data Architect: 10 years
Exp in Data Structures: 10 years

Work Location: San Jose CA
Remote work Allowed: No

$82/hr on C2C

This is 100% Onsite role in San Jose CA

Required :
:
- Bachelors of Engineering in Computer Science only.

-Degrees in other engineering branches (Electrical Civil Mechanical IT etc.) are explicitly not acceptable.

-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.

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.

Title: Data and Cloud Solutions Architect
Location: San Jose CA (100% on-site)
Education Requirement:

Job Description:
The Data and Cloud Solutions Architect will be a key contributor to designing evolving and optimizing our companys 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:
Bachelors 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.