Azure, Data Architect

Overview of 66degrees

66degrees is a leading consulting and professional services company specialising 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 multi-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 multiple cloud platforms.

Responsibilities:

• Design and implement a scalable and secure multi-cloud data architecture that supports the organization's data needs.
• Develop data models, data warehouses, and data lakes that are optimised for performance and scalability.
• Design and implement ETL/ELT processes, data pipelines, and big data technologies to move and transform data between different cloud platforms.
• Evaluate and select cloud-native tools and services for data processing, storage, and analytics.
• Implement data governance policies and procedures to ensure data quality, security, compliance, and metadata management across multiple clouds.
• Develop and execute cloud migration strategies and tools for moving data and workloads between clouds.
• Collaborate with other teams, including data engineers, data scientists, and business analysts, to ensure that data is used effectively to support the organization's goals.

Qualifications:

• Multi-Cloud Proficiency: In-depth knowledge of at least two major cloud platforms (GCP, Azure) and their data services.
• Data Architecture: Strong foundation in data modeling, warehousing, and data lake concepts.
• Data Engineering: Expertise in ETL/ELT processes, data pipelines, and big data technologies.
• Cloud-Native Technologies: Proficiency in cloud-native tools and services for data processing, storage, and analytics.
• Data Governance: Understanding of data quality, security, compliance, and metadata management across multiple clouds.
• Cloud Migration: Knowledge of migration strategies and tools for moving data and workloads between clouds.
• Excellent communication and collaboration skills.
• Bachelor's degree in computer science, engineering, or a related field.
• Experience with containerisation and orchestration technologies.
• Experience with DevOps practices and tools.
• Certifications in cloud technologies.
• A Bachelor’s degree in Computer Science, Computer Engineering, Data or related or equivalent work experience required.

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.