What are the responsibilities and job description for the Cloud Solutions and data Architect position at Axiom Technology Group?
Cloud Solutions and data Architect
Location: San Jose, CA ( 5 days a week in office)
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:
- 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.
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).