$78.25 - $107.25/hr
Contractor
Posted 27 days ago
Job description
Location: San Jose, CA
Duration: 6 Year
Description:
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).
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
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Cloud Solutions Architect?
A: To succeed as a Cloud Solutions Architect, key technical skills include expertise in cloud computing platforms (e.g., AWS, Azure, Google Cloud), proficiency in programming languages (e.g., Java, Python, C#), and knowledge of cloud security, data analytics, and DevOps practices. Soft skills such as effective communication, collaboration, and problem-solving, as well as traits like adaptability, strategic thinking, and business acumen, are also crucial for success in this role. By combining these technical and soft skills, a Cloud Solutions Architect can design and implement scalable, secure, and efficient cloud solutions that meet business needs and drive career growth through increased responsibility and professional recognition.
Q: What is the career path for a Cloud Solutions Architect?
A: A Cloud Solutions Architect's typical career progression involves starting as a Cloud Engineer or Cloud Consultant, then advancing to a Cloud Solutions Architect role, and eventually becoming a Senior Cloud Solutions Architect or Cloud Architecture Lead. Key opportunities for skill development include learning cloud computing platforms (e.g., AWS, Azure, Google Cloud), developing expertise in cloud migration, security, and compliance, as well as staying up-to-date with emerging technologies like AI, IoT, and DevOps. Long-term career prospects may include transitioning into leadership roles, such as Cloud Strategy Director or Chief Technology Officer, or pursuing specialized roles like Cloud Security Architect or Cloud Data Architect.
