Cloud Solutions and Data Architect

Cloud Solutions and Data Architect

Location: San Jose, CA  ( 5 days a week client office)

Experience: 15+ years required (C2C)

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. Must work EST hours.

Core Responsibilities

·                  Cloud Data Architecture Design & Strategy:

o        Design and implement secure, scalable cloud-based data pipelines, data warehouses, and data lakes.

o        Drive the selection and integration of cloud data services (e.g., storage, databases, analytics tools).

o        Develop comprehensive cloud data strategies in alignment with business goals.

 

·                  Diagramming & Documentation:

o        Produce clear and informative visual diagrams (e.g., data flow diagrams, entity-relationship diagrams, system architecture diagrams) to guide implementation and knowledge sharing.

o        Maintain detailed documentation of data architecture, design decisions, and processes.
 

·                  Hands-on Implementation & Optimization:

o        Actively contribute to the hands-on implementation of cloud data solutions.

o        Proactively identify and implement performance optimization strategies for cloud data systems.

o        Troubleshoot and resolve issues related to data pipelines, data quality, and data accessibility.
 

Required Qualifications

·                  4 Year Bachelor''s degree in Computer Science

·                  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.

 Thanks....

Yashwanth Avula

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