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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
4 days ago
Title: Data and Cloud Solutions Architect
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.
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.

About the Company

A

Axelon Services Corporation

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