Chief Data Architect for Cloud-Based Enterprise Platform

1 day ago

Hong Kong, Central and Western District, Hong Kong SAR China Hong Kong Exchanges and Clearing Limited Full time

As a key member of the Chief Data Office, you will play a pivotal role in developing data analytics capabilities and enhancing our enterprise data platform. We are seeking a seasoned Data Analytics Engineer with a strong technical background in cloud experiences and data domain technologies to join our team.

The successful candidate will be responsible for the execution and delivery of data analytics engineering projects to incrementally build out our enterprise data platform. Key duties will focus on the application of engineering skills for end-to-end data analytics technology capabilities from data ingestion, data modeling, data governance, data visualization, and analytics solutions implementation.

Key Responsibilities

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  2. Collaborate with cross-functional teams to deliver data engineering projects, ensuring high availability and performance.
  3. Design and implement scalable and secure data analytics solutions for data ingestion, data processing, data visualization, etc.
  4. Prioritize requirements based on business benefits and protection against data risks, collaborating with stakeholders to deliver data platform capabilities.
  5. Promote compliant and quality reuse of data on the enterprise platform, through incremental delivering functionalities in the data lifecycle, including data access control, data lineage, data modeling, data quality, and data analytics.
  6. Apply native cloud skills like containerization, object storage, etc. to enable effective data analytics, data management, and data governance.
  7. Manage development pipelines through DevSecOps, CI/CD tooling, and Infrastructure as Code.
  8. Effectively use hybrid project management techniques, applying agile tools within SDLC phases.
  9. Coordinate other IT functions in the efficient use of technical tools, internal resources, and skills, optimizing technical synergies and efficiency across initiatives.
  10. Manage third-party data products and vendors for deployment onto the data platform.

Requirements

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  2. Bachelor's degree in computer science, technology, data, or related disciplines.
  3. 5 years of working experience in systems development, preferably in large enterprises. AVP position requires stronger technology and management experiences.
  4. Well-versed with SDLC project disciplines and experienced in Agile methodologies in cross-functional teams.
  5. Good understanding of enterprise data architecture and technology stack, covering batch processing and streaming data for analytics usage.
  6. Familiar with cloud technologies and operations in AWS, Azure, or China clouds and data processing in a cloud environment.
  7. Solid technical background with hands-on experience in software development and data-related technologies.
  8. Proficiency in programming languages such as Python, Java, C++, or Scala.
  9. Hands-on experience with big data technologies and ecosystems, including Hadoop, Spark, and Kafka.
  10. Knowledge of database systems, both relational and NoSQL.
  11. Familiar with big data technologies, e.g., Redshift, HDFS, HBase, Hive, etc.
  12. Experience in data security and data management tools, e.g., LDAP, OAuth, Keycloak, Lake Formation, etc.
  13. Experienced in DevSecOps tooling, CI/CD pipeline, Terraform, etc.
  14. Excellent problem-solving skills and ability to work in a fast-paced environment.

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