Data Architect

Introduction
Transformation is being transformed — from one-off initiatives to an urgent, purpose-driven imperative. Modern businesses
must move ever faster, but also with more empathy and more openness.
IBM Consulting is a new partner for the new rules of modern business. We embrace an open way of working by bringing a
diverse set of voices and technologies together. We collaborate closely, ideate freely and swiftly apply breakthrough
innovations that drive exponential impact to change how business gets done.
We believe open ecosystems, open technologies, open innovation and open cultures are the key to opening opportunities
and the way forward for modern business and for our world.
Being a member of Data & Technology Transformation team, you will help clients to build scalable data platform, unlock
insights from big data and support data scientists to perform advanced analytics and machine learning.
Join us to work together, create together, grow together and rethink what’s possible together.
Responsibilities
Design, develop, and implement end-to-end data solutions (storage, integration, processing, access)
Architect and implement ETL and data movement solutions
Data Modelling for different data flow architecture such as ODS, DDS
Prepare documentation and designs for data solutions and applications
Design and implement distributed analytics platforms for analyst teams
Design and implement high velocity streaming solutions
Creating conceptual logical and physical data models
Migrate data from traditional relational database systems to relational databases such as Azure SQL and Azure
Synapse
Implement ad-hoc analysis solutions
Implement solution for data engineering in data science / machine learning domain (e.g. data sandbox / feature
engineering)
Propose architectures that consider cost/spend in Cloud Platform strategy and develop recommendations or plans to
right-size data infrastructure
Requirements
University graduate in Information Technology, Computer Science or in a related discipline
Minimum 8 years’ working experience in data or infrastructure architecture
Minimum 3 years’ working experience in data modelling and design
Demonstrate capability in data lake, data warehousing, data integration, data migration tools knowledge, data quality
and profiling skills
Possesses experience of having solved complex analytical and technical problems
Possesses end-to-end architecture experience including front-end, databases and data warehouse
Strong knowledge on data management and analyst
Experienced in relational database such as SQL server, Oracle and Teradata
Experienced in noSQL database such as MongoDB
Excellent communication and negotiation skills
Proficient in both spoken and written English and Chinese
Preferred software development experience with C/C++ or Java
Preferred experience in leading offshore team
Preferred experience in one or more cloud data platform such as AWS, Azure, GCP
Preferred experience in collaboration with data scientist in data exploration and machine learning