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
– At least 5 years experience in data architecture design and implementation.
– Familiar with the principles of data modeling and database design familiar with ER models and normalization.
– Familiar with relational databases (e.g. MySQL PostgreSQL) and NoSQL databases (e.g. MongoDB).
– Familiar with Kubernetes and container technology.
– Experienced in ETL process design and data conversion.
– Good problem solving and excellent communication and collaboration skills able to work with different technical and business teams.​​​​​​​

Preferred Technical and Professional Expertise