Solution Architect-Cognitive Computing

Introduction
At IBM work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so lets talk.

Your Role and Responsibilities
– Mainly work with internal teams and customers to develop data architecture strategies and design implementation plans for data requirements and business objectives.
– Select appropriate data storage technologies such as relational Database NoSQL Distribution Database etc. and design the architecture according to business requirements.
– Design data flow and ETL (Extract Transform Load) flow to ensure correct and timely conversion and loading of data.
– Define data quality and data security policies to ensure data integrity consistency and confidentiality.
– Work with data engineers to ensure that the implementation of data architecture complies with best practices and supports high-performance data processing and queries.
– Monitor database performance to optimize query performance and data access speed.
– Solve technical issues and challenges related to data including data migration data integration etc.
Provide data architecture guidance and training to ensure teams and users understand and follow best practices.

Required Technical and Professional Expertise

• Design and develop scalable secure and efficient software architectures.
• Apply SOLID principles to ensure code quality and maintainability.
• Manage relational (SQL) and non-relational (NoSQL) databases according to project requirements.
• Lead the design development and deployment of microservices and business applications.
• Integrate different software services using Api Rest Api Managers synchronous and asynchronous messaging system.
• Implement and manage cloud infrastructures using technologies such as Kubernetes or OpenShift.
• Collaborate with cross-functional teams to define requirements architecture and technical solutions.
• Evaluate new technologies and tools to enhance existing architecture.

Preferred Technical and Professional Expertise

• Ensure compliance with software development best practices and industry standards.
• Provide mentoring and technical support to junior developers and development teams.