Principal data architects at Thoughtworks play a key part in developing modern data architecture approaches to meet business objectives and provide end-to-end data solutions.
Requirements
- Defining and implementing different types of data architecture
- Analyzing trade-offs and defining technology stacks for different types of data architecture
- Designing application system architecture based on big data, artificial intelligence and related technologies
- Building, maintaining and tuning data platforms, data warehouse design, data modeling, data monitoring and operations
- Experience with common design patterns, application frameworks and foundational/theoretical knowledge
- Proficiency in common open-source distributed computing/storage technologies
- Defining, developing and enabling data-driven techniques, advanced analytics, ML/AI and data mining applications in enterprise
- Developing real-time and low-latency data streaming solutions
- Productionizing machine learning models and applying techniques, tools and processes
Benefits
- Learning & Development opportunities
- Responsible use of AI in recruitment
- Dynamic and inclusive community
- Revolutionizing tech