Job Description
Overview of 66degrees
66degrees is a leading consulting and professional services company specializing in developing AI-focused, data-led solutions leveraging the latest advancements in cloud technology. With our unmatched engineering capabilities and vast industry experience, we help the world's leading brands transform their business challenges into opportunities and shape the future of work.
At 66degrees, we believe in embracing the challenge and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.
Overview of Role:
We are seeking an experienced Data Architect to design, develop, and maintain our google cloud data architecture. The ideal candidate will have a strong background in data architecture, data engineering, and cloud technologies, with experience in managing data across google cloud platforms.
Responsibilities:
Qualifications:
66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.
66degrees is a cloud technology platform that serves healthcare, financial services, technology, media, and public sectors. It offers collaboration and productivity, infrastructure modernization, application development, and data modernization services that enable clients with cloud migration and implementation remedies and services. It specializes in cloud adoption and data-driven transformation, operating in the cloud services and data analytics sectors. It also offers various services including data engineering and analytics, data science, infrastructure modernization, application development, and managed cloud optimization.