Data Architect
3 weeks ago
Job Description
organizations.
- Planning, Implementation and control activities to enable access to high quality and integrated
metadata.
- Process of discovering, analyzing, and scoping data requirements
- Creates a foundation to successfully complete broad-scoped initiatives such as master data
management and data governance programs.
- Accountable for Data Integration & Interoperability, Distribution/Sharing,
Metadata/Catalog/Lineage, Data Modelling and Design
- Section Performance monitoring and reporting
Requirement
- Bachelor’s / Master’s in computer science, computer engineering, electrical engineering,
systems analysis or a related field of study
- 5 to 8 years relevant experience in Data Architecture design, setup, maintenance, optimization,
and operations. Including Data Protection (Security & Privacy), Data Quality, Data Strategy &
Next Gen technologies, Data Integration & Interoperability, Distribution/Sharing,
Metadata/Catalog/Lineage, Data Modelling and Design
- At least 5-8 years of experience in data architectures which include ETL pipelines, data lakes,
data warehouse and monitoring infrastructure
- Requires advanced knowledge of Data analysis and data management tools to be able to
recommend and provide industry best practices.
- Hands-on knowledge for Design, Build, Maintenance, Monitoring, Optimization of Enterprise
Level of Data Governance and Data Management Frameworks.
- Experience in data engineering, probability and statistics, machine learning, experimental
design, and optimization
- Excellent knowledge in ELT (Extract, Load, Transform) pipelines, SQL, Data Analysis, Data
Modelling, Data Warehousing, Data Collection, Data Mining, Data Mapping, Data Processing for
Structured & Unstructured data.
- Experience in driving end to end data solutions and data management strategy across data and
analytics platforms.
- Excellent knowledge and experience in business intelligence tools; (e.g. Power BI) and
Automation tools (e.g RPA).
- Knowledge working with data from IOT devices; AI/ML, Cloud, APIs, etc.
- Knowledge in optimizing usage of Data technologies and/or services for synergies/cost savings
and monetization.
- Excellent interpersonal skills and communication with all levels of management.
- Strong analytical capabilities
- Strategic thinker, able to work independently and as a team.
- Good business understanding and experience in data governance & management, big data
lakes/warehouses, APIs, Automation and AI/ML solutions / implementations.
Additional Requirement
Gender
Male & Female
Job Information
Industry
NORMAL
Employment
Position Level
Senior Executive
Working Hour
Language
English, Melayu
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