Responsibilities

  • 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.

Requirements

  • 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 Skills
    • Cloud 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