GCP Data Architect

Role Overview: As a Data Architect at 66degrees, your main responsibility will be to design, develop, and maintain the google cloud data architecture. You will have the opportunity to work with a team of experts in cloud technologies and data engineering to manage data across various google cloud platforms. Key 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 a bonus. - Data Modeling: Develop and maintain conceptual, logical, and physical data models to meet different 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: - In-depth knowledge of GCP data services, including BigQuery, Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, Cloud DataProc, Cloud Run, and Cloud Composer. - Expertise in data modeling techniques and best practices. - Hands-on experience with Spark and Hadoop. - Proven ability to design scalable, reliable, and cost-effective cloud architectures. - Understanding of data quality, security, compliance, and metadata management. - Proficiency in SQL, Python, and DBT (Data Build Tool). - Strong analytical and problem-solving skills. - Excellent written and verbal communication skills. - A Bachelor's degree in Computer Science, Computer Engineering, Data or related field or equivalent work experience required. - GCP Professional Data Engineer or Cloud Architect certification is a plus. Role Overview: As a Data Architect at 66degrees, your main responsibility will be to design, develop, and maintain the google cloud data architecture. You will have the opportunity to work with a team of experts in cloud technologies and data engineering to manage data across various google cloud platforms. Key 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 a bonus. - Data Modeling: Develop and maintain conceptual, logical, and physical data models to meet different 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: - In-depth knowledge of GCP data services, including BigQuery, Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, Cloud DataProc, Cloud Run, and Cloud Composer. - Expertise in data modeling techniques and best practices. - Hands-on experience with Spark and Hadoop. - Proven ability to design scalable, reliable, and cost-effective cloud architectures. - Understanding of data quality, security, compliance, and metadata management. - Proficiency in SQL, Python, and DBT (Data Build Tool). - Strong analytical and problem-solving skills. - Excellent written and verbal communication skills. - A Bachelor's degree in Computer Science, Computer Engineering, Data or related field or equivalent work experience required. - GCP Professional Data Engineer or Cloud Architect certification is a plus.