
Svp Platform Engineering Lead
2 weeks ago
**A brand-new role reporting to the group head for technology and operations for one of South East Asia's largest banks, it will lead the platform engineering aspects of the data analytics space. A high visibility leadership role that will support data engineering, data integration, data quality, analytics and machine learning model development while driving change.**
Some of the key technologies that this person should have exposure to includes Cloudera and Teradata.
**Responsibilities**:
- Work closely with technology partners to design and build technology solutions to meet business requirements/capability roadmap.
- Develop standardized frameworks, playbooks, practice guides and other artefacts that will allow the engineering team to work in a structured, standard manner.
- Create/maintain principles, practices, and standards to get there.
- Create awareness and buy-in amongst various stakeholders about architecture, design pattern, framework and new way of working. Needs to be able to act as a mentor/executor when required.
- Participate in definition and selection of data platforms - Guide the future direction of data strategy and processes, including intake, sources, database design and structure, data integrity and database tools.
**Requirements**:
- 10+ years of experience of services, product development, infrastructure and security experience as an architect or similar hands-on technology leadership role.
- Detailed understanding of infrastructure, integration, virtualization, storage, networks, and security technologies. - Detailed understanding of Industry data model, reporting data model and other standard data model required to support build-out of static and dynamic analytical capabilities
- Expertise in large databases involving e.g., Oracle, Teradata etc.
- Expertise in Data Integration tools/platform e.g., Informatica, IBM Data Stage etc - Experience in Visualization tools/platform e.g. Qlik, Power BI etc.
- Expertise in Big Data Engineering tools/platform e.g., Cloudera, Horton Works, APACHE etc. Deep expertise in HDFS, HIVE, IMPALA, Kafka, SPARK, YARN is a plus.
LI-JA1
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