ABOUT PREMIER CLOUD

Established in 2001, Premier Cloud Inc. is a Google Cloud Premier Partner that specializes in delivering cloud services & solutions to SMB and Enterprise clients across North America. Premier Cloud helps businesses migrate, collaborate, and scale by leveraging Google Cloud and other SaaS products. We provide consulting, managed services, and cloud solutions to some of the largest and most well-known organizations worldwide.
As a cloud solutions provider, Premier Cloud offers a range of SaaS products & services surrounding Google Cloud, JumpCloud, Lumin, Virtru, and more.
We pride ourselves on maintaining a light-hearted and collaborative culture that provides career paths for those looking to grow both personally and professionally. We recognize that our team members are the backbone of our business, and we couldn’t succeed without them. Understanding that diversity is a strength, we recognize that our team’s unique backgrounds help us make better decisions, resulting in more creative solutions and ultimately better outcomes for our clients.
Year after year, we’re proud to be voted a Great Place to Work-Certified™ organization and have been featured on GPTW’s ‘Best Workplaces in Technology’ list. As technology is ever-evolving, this industry is a place without limitations - and we believe careers at Premier Cloud shouldn’t have any either.
Follow LinkedIn Page: Premier-Cloud-Inc.

MINIMUM QUALIFICATIONS:

• GCP Expertise: Proven experience in designing, building, and deploying data solutions on GCP.
• Data Warehousing and Pipelines: Strong expertise in SQL, data warehouse design, and data pipeline development.
• Cloud Architecture: Understanding of cloud architecture principles and best practices.
• Communication Skills: Excellent written and verbal communication skills, including the ability to explain technical concepts to non-technical stakeholders.

PREFERRED QUALIFICATIONS:

• Data Engineering: 3+ years of experience in a data engineering role.
• Looker: Experience with Looker or other data visualization tools.
• AI/ML: Knowledge of AI/ML technologies and their application in data solutions.
• GCP Certifications: Professional Data Engineer or other relevant GCP certifications.

• Architect and Design:
• Collaborate with clients to understand their data challenges and goals.
• Design and implement scalable, high-performance data solutions on GCP.
• Develop data pipelines, data warehouses, and data lakes using GCP services (BigQuery, Dataflow, Dataproc, etc.).
• Optimize data architectures for cost-efficiency and performance.
• Data Engineering:
• Build and maintain ETL/ELT pipelines to ingest, transform, and load data from various sources.
• Ensure data quality, integrity, and security throughout the data lifecycle.
• Work with cloud architects and developers to integrate data solutions into end-to-end client applications.
• Client Success:
• Conduct client readiness assessments for leveraging Google Cloud technology for data analysis.
• Provide technical guidance and support to clients throughout project lifecycles.
• Contribute to the development of internal best practices and knowledge sharing.