- Provide Architectural leadership and vision for Data Platform.
- Develop strategy and data platform roadmaps.
- Design and oversee current and target data architecture and blueprints to meet business needs.
- Align data architecture with technology and business architecture
- Design and define data security architecture.
- Lead governance forums on the usage of technology stacks for data space.
- Define data architecture standards, guidelines, and best practices
- Consult data teams and business stakeholders on data solutions and provides recommendations on emerging technology to senior management.
- Be a key stakeholder and advisor in all new strategic Data initiatives and ensure alignment to the enterprise-wide data strategy; drive a target and consistent data architecture across the organization; develop and document architecture specifications that serve as the reference for engineering and execution.
- Contribute to the business strategies and roadmap development to meet business objectives with existing or emerging data related technologies.
- Identify business value through the use of data.
- Understand the needs of business and the business vision.
Skills for Success
- Bachelor's degree in computer science, information technology, or a related field.
- Minimum 12 years of experience in the architecture domain, with a focus on data architecture and governance.
- Architecture design and development of large scale data platforms and data solutions
- Expertise in design and management of complex data structures and data processes
- Expertise in metadata management, data processing, reference data management
- Expertise in streaming and batching data processing
- Deep knowledge and hands on experience on big data and cloud computing technologies
- Strong service architecture and development experience with high performance and scalability
- Experience in defining corporate-wide data strategy and data governance
- Extensive hands-on experience in designing and developing data models, integrating data from multiple sources, data flow design, building data pipelines for data platforms –data lake and data warehouse
- Experience in SQL, NoSql, Graph DB, Hadoop and Spark
- Familiar with one or more Architecture Frameworks (e.g. TOGAF etc.)
- Experience in operating architecture review board
- Keep up with the technology development in the related areas in the industry, which could be leveraged to enhance current architectures and build durable new ones
- Outstanding verbal, written, presentation, facilitation, and
- Technical / Professional SkillsCloud Lakehouse
Data Lake
Data Warehouse
Business Intelligence
Big Data Platform based on
Hadoop
SQL / NoSql / GraphDB
Streaming - Kafka
Master Data Management
Meta Data Management
Data Security
Enterprise Architecture
API Strategy
- Influencing, persuasion, negotiation and conflict resolution
- Communication Skills
- Stakeholder Management
- Presentation Skills
- Courageously drives change to achieve entrepreneurial goals
- Contribute creative solutions and foster the spirit of innovation
