SVP, Platform Engineering Lead (Banking Industry)

Job description

​The successful candidate will lead the platform engineering aspects of Data Analytics domain, that supports Big Data engineering, Data Integration, Data Quality, Analytics, ML model development and operationalisation.

Expertise in big data engineering tools, platforms, implementation e.g Cloudera, Horton Works, and Apache is a must have.

RESPONSIBILITIES:

• Work closely with technology partners to design and build technology solutions to meet business requirements/capability roadmap. Participate in defining capability and application 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

• Collaborate across Data Analytics technology domain to ensure execution plans are aligned with the application frameworks, chosen tools, engineering practices

• Drive change across the Data engineering team via personal credibility, experience

• 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 cross-bank technology initiatives

• 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:

• 15+ years of experience of services, product development, infrastructure and security experience as an architect or similar hands-on technology leadership role

• Deep knowledge of modern data technology stacks, software development tools, application and system performance monitoring, patterns and practices required to build highly available and scalable services

• Strong 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 Oracle, Teradata

• Expertise in Data Integration tools/platform Informatica, IBM Data Stage

• Experience in Visualization tools/platform Qlik, Power BI

• Expertise in Big Data Engineering tools/platform Cloudera, Horton Works, APACHE

• Data modelling and architecting skills including strong foundation in data warehousing concepts, data normalisation, and dimensional data modelling such as OLAP

Please contact Jackie Panopio at +65 6950 0369 or JackieP@charterhouse.com.sg for a confidential discussion.

EA License no: 16S8066 | Reg no.: R1332082

Only successful candidates will be notified. Referrals are greatly appreciated.