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Data Solution Architect

Job description

Data Solution Architect

Data Analytics Leadership
Design and implement robust data analytics frameworks.
Collaborate with business units to leverage data insights for strategic
decision-making.
Develop predictive models to enhance customer retention and optimize network
performance.
Data Platform Modernization
Assess and upgrade existing data infrastructure to support scalability and
agility.
Integrate cutting-edge technologies to streamline data processing and
storage.
Ensure data integrity, security, and compliance with industry standards.
Service Platform Architecture Design
Architect scalable service platforms to improve user experience.
Lead the integration of cloud solutions to enhance service delivery and
operational efficiency.
Collaborate with cross-functional teams to define and implement service
APIs.
Strategic Planning and Execution
Align IT architecture with business goals to support financial
sustainability.
Identify and mitigate risks associated with IT infrastructure and data
management.
Drive innovation by exploring emerging technologies and industry trends.

Requirements:
Bachelor Degree in Computer Science, Data Science, IT, Electronic
Engineering or related disciplines
3 to 5 years of experience in implementing data warehouse/data lake/ big
data solution
Hands-on experience to design enterprise data platforms and solutions
incorporating big data, Gen AI / Agentic AI / RAG and Cloud (Microsoft Azure/
AWS is a plus)
Strong knowledge of project management methodologies (Scrum / Jira)
Experience in Big data technologies and related open-source packages such as
MS CI, Kafka, Confluence, Hadoop, Spark, etc.
Demonstrated experience of turning business use case and requirements to
technical solutions. Systematic thinking capability is required
Experience in understanding and converting RPA requirements
Solid understanding on latest market, innovation and technology trends
Forward-thinking and ability to bring new ideas
Computer Software knowledge in Kafka, Confluence, Hadoop, Spark and etc.
Operating System knowledge in PaaS, VM, Unix, Linux
Programming Language knowledge in Python, Java
Good command of both spoken and written English
Good command of spoken and average command of Mandarin