
GCP Data Architect
- Bangalore, Karnataka
- Permanent
- Full-time
- Design and develop robust, scalable, and efficient data architectures that support business requirements and objectives.
- Create and maintain data models and schemas for new and existing applications, ensuring optimal performance and scalability.
- Develop and maintain comprehensive data models that meet both current and future business needs.
- Ensure data integrity, consistency, and accessibility across multiple systems.
- Lead the design and implementation of data migration strategies and processes.
- Oversee the development of ETL pipelines, ensuring efficient and reliable data extraction, transformation, and loading.
- Design data warehousing solutions to support analytical and reporting needs.
- Utilize big data technologies to handle large volumes of structured and unstructured data.
- Lead cloud migration initiatives, ensuring seamless transition of data and applications to cloud platforms.
- Develop strategies for cloud data management, storage, and security.
- Analyze and optimize database performance, identifying and resolving bottlenecks.
- Implement best practices for database design, indexing, and query optimization.
- Collaborate with cross-functional teams, including software developers, data engineers, and business analysts, to deliver high-quality data solutions.
- Bachelor's or master's degree in computer science, Information Technology, or a related field.
- Strong knowledge of big data technologies (e.g., Hadoop, Spark, Kafka or similar) and cloud platforms (e.g., AWS, Azure, Google Cloud).
- Proficiency in SQL and NoSQL databases, and experience with database performance tuning.
- Excellent problem-solving skills and the ability to think critically and creatively.
- Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Experience with data governance, data quality, and data security best practices.
- Certification in cloud technologies (AWS Certified Solutions Architect, Google Cloud Professional Data Engineer, etc.).
- Knowledge of DevOps practices and tools for data management and deployment.