Data Architect

Overview of the Company: 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 unmatched engineering capabilities and vast industry experience, we assist the world's leading brands in transforming their business challenges into opportunities and shaping the future of work. At 66degrees, the values of embracing challenges and winning together guide us not only in achieving company goals but also in creating a significant impact for our employees. We are dedicated to fostering a culture that sparks innovation and supports professional and personal growth. Overview of Role: We are looking for an experienced Data Architect to design, develop, and maintain our Google Cloud data architecture. The ideal candidate will possess a strong background in data architecture, data engineering, and cloud technologies, with expertise in managing data across Google Cloud platforms. Responsibilities: - GCP Cloud Architecture: Design, implement, and manage robust, scalable, and cost-effective cloud-based data architectures on Google Cloud Platform (GCP), utilizing services like BigQuery, Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, Cloud DataProc, Cloud Run, and Cloud Composer. Experience in designing cloud architectures on Oracle Cloud is advantageous. - 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 Hadoop. - Data Governance: Establish and enforce data governance policies, including data quality, security, compliance, and metadata management. - Data Pipelines: Build and optimize data pipelines for efficient data ingestion, transformation, and loading. - Performance Optimization: Monitor and tune data systems to ensure high performance and availability. - Collaboration: Work closely with data engineers, data scientists, and other stakeholders to understand data requirements and provide architectural guidance. - Innovation: Stay updated with the latest technologies and trends in data architecture and cloud computing. Qualifications: - GCP Core Services: In-depth knowledge of GCP data services, including BigQuery, Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, Cloud DataProc, Cloud Run, and Cloud Composer. - Data Modeling: Expertise in data modeling techniques and best practices. - Big Data Technologies: Hands-on experience with Spark and Hadoop. - Cloud Architecture: Proven ability to design scalable, reliable, and cost-effective cloud architectures. - Data Governance: Understanding of data quality, security, compliance, and metadata management. - Programming: Proficiency in SQL, Python, and DBT (Data Build Tool). - Problem-Solving: Strong analytical and problem-solving skills. - Communication: Excellent written and verbal communication skills. - A Bachelor's degree in Computer Science, Computer Engineering, Data, or related field is required, or equivalent work experience. - GCP Professional Data Engineer or Cloud Architect certification is a plus.,