Solutions Architect Undefined

Job-Title : Solutions Architect
LOCATION: Phoenix, AZ (100% Remote)
LENGTH: 6 Months +

Job-Description:
Solutions Architect – Cloud Computing Environment
We are seeking an experienced Solutions Architect to lead the design and implementation of our Databricks project within a cloud computing environment. The ideal candidate will have a strong background in Databricks, cloud computing, and data engineering. You will collaborate closely with cross-functional teams to create scalable, efficient, and secure solutions that align with business objectives and technical requirements.

Top Qualifications:
10+ years as a Solutions Architect: Demonstrated expertise, especially with cloud platforms such as AWS or Azure.
Data Engineering and ETL Experience: Proficiency in designing and optimizing data pipelines, ETL processes, and data storage solutions.
Aptitude with Databricks and/or AI Projects: Familiarity with Databricks and its applications in artificial intelligence projects.
Key Responsibilities:
Solution Design and Architecture:
Develop comprehensive solution architectures that leverage Databricks and cloud computing technologies to meet project requirements and business goals.
Data Engineering and ETL:
Design and optimize data pipelines, ETL processes, and data storage solutions using Databricks and cloud services (AWS, Azure, or Google Cloud).
Performance Optimization:
Monitor and enhance the performance of data processing tasks, databases, and infrastructure within the Databricks platform.
Collaboration and Communication:
Work closely with data engineers, data scientists, and cloud architects to seamlessly integrate Databricks solutions within the broader cloud environment.
Security and Compliance:
Implement security best practices, ensuring compliance with industry standards (e.g., data encryption, access control, audit logging).
Troubleshooting and Support:
Diagnose and resolve issues related to data processing, analytics, and cloud infrastructure within the Databricks environment.
Documentation:
Create & maintain detailed documentation of solution architectures, designs, & configurations for reference and team collaboration.
Innovation & Best Practices:
Stay informed about emerging trends and technologies in Databricks, cloud computing, and data engineering. Continuously improve processes.
Preferred Qualifications:
Education: Bachelor s or Master s degree in Computer Science, Information Technology, or a related field.

Professional Experience:
Proven track record as a Solutions Architect or in a similar role, with a strong focus on Databricks and cloud computing projects.
In-depth understanding of Databricks, encompassing data engineering, data science, and machine learning capabilities.
Cloud Platform Expertise:
Proficiency in cloud platforms such as AWS, Azure, and Google Cloud.
Familiarity with cloud services related to data storage, compute, and networking.
Programming Languages:
Proficiency in Python, R, Scala & SQL for data processing and analysis.
Infrastructure as Code (IaC):
Experience with IaC tools like Terraform or AWS CloudFormation.
Problem-Solving Skills:
Excellent analytical abilities with a keen attention to detail.

Communication and Collaboration:
Strong communication and collaboration skills, enabling effective teamwork across cross-functional groups.
Certifications:
Relevant certifications, such as AWS Certified Solutions Architect or Databricks certifications are advantageous.