Data Architect I
Axelon Services Corporation
San Jose, CA
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JOB DETAILS
SKILLS
Analysis Skills, Apache Hadoop, Apache Spark, Architectural Design, Big Data, Cloud Architecture, Cloud Computing, Communication Skills, Computer Science, Cross-Functional, Data Lake, Data Management, Data Modeling, Data Quality, Data Visualization Tools, Data Warehousing, DataArchitect Data Modeling Tool, Database Analysis, Database Technology, Documentation, Entity Relationship Diagram (ERD), Identify Issues, Information/Data Security (InfoSec), Leadership, Microsoft Visio, Microsoft Windows Azure, Performance Tuning/Optimization, Presentation/Verbal Skills, Problem Solving Skills, Python Programming/Scripting Language, Relational Databases (RDBMS), SQL (Structured Query Language), Scripting (Scripting Languages), Software Engineering, System Architecture, Team Player, Technical Leadership, Writing Skills
LOCATION
San Jose, CA
POSTED
5 days ago
Location: San Jose, CA (100% on-site)
Pay: $65/hr
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.
- 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.
- 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.
- 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.
- 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).
- 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.
About the Company
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