What are the responsibilities and job description for the Data and Cloud Solutions Architect position at UNICOM Technologies Inc?
Title: Data and Cloud Solutions Architect
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, 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.
Required:
1.Education:
- Bachelors 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.
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, 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.
Required:
1.Education:
- Bachelors 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.