66degrees
AI transformation
DataArchitect
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Architect at 66degrees. Skills: Data Architecture, Azure, Cloud Computing. Design data architectures on Google Cloud Platform (GCP). Implement data architectures on Google Cloud Platform (GCP)”
What You'll Achieve.
Guide enterprises from complex business challenges to clear, quantifiable outcomes; Transform chaotic data into a strategic asset; Transform complexity into clarity; Use AI as an engine for growth; Operate as an intelligent enterprise; Unlock human potential with autonomous systems
Industry & Context.
Analytical and problem-solving skills
What They're Looking For.
Must Have
Experience in data architecture, Experience in data engineering, Experience in cloud technologies, Experience managing data across Microsoft Azure platforms, Expertise in data modeling techniques, Hands-on experience with Spark, Hands-on experience with Hadoop, Proven ability to design scalable, reliable, and cost-effective cloud architectures, Understanding of data quality, Understanding of data security, Understanding of data compliance, Understanding of metadata management, Proficiency in SQL, Proficiency in Python, Proficiency in DBT (Data Build Tool), Analytical skills, Problem-solving skills, Excellent written communication skills, Excellent verbal communication skills, Bachelor’s degree in Computer Science, Computer Engineering, Data or related or equivalent work experience
Nice to Have
Experience designing cloud architectures on Oracle Cloud, Microsoft Certified: Azure Data Engineer Associate certification, Azure Solutions Architect Expert certification
What You'll Do.
Design data architectures on Google Cloud Platform (GCP)
Implement data architectures on Google Cloud Platform (GCP)
Manage data architectures on Google Cloud Platform (GCP)
Design solutions for processing large datasets
Implement solutions for processing large datasets
Establish data governance policies
Enforce data governance policies
Optimize data pipelines
Stay current with technologies
Stay current with trends
How You'll Work.
Team & Collaboration
Work closely with data engineers; Work closely with data scientists; Work closely with stakeholders
Communication Scope
Excellent written communication skills; Excellent verbal communication skills
Full Job Description
Overview of 66degrees 66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential. At 66degrees, we believe in thriving through challenges 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 Microsoft Azure data architecture. The ideal candidate will have a strong background in data architecture, data engineering, and cloud technologies, with experience in managing data across Microsoft Azure platforms. Responsibilities GCP Cloud Architecture: Design, implement, and manage robust, scalable, and cost-effective cloud-based data architectures on Google Cloud Platform (GCP), leveraging services like Azure Synapse Analytics, Azure Data Factory, Azure Event Hubs, Azure Data Lake Storage (ADLS) Gen2, Azure Databricks, Azure Functions, and Azure Logic Apps. Experience designing cloud architectures on Oracle Cloud is a plus. Data Modeling: Develop and maintain conceptual, logical, and physical data models to support various business needs. Big Data Processing: Design and implement solutions for processing large datasets using technologies such as Spark and Ha
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