Assoc/AVP, Data Platform Engineer, Data Platform Engineering

Data Strategy Group
The Data Strategy Group (DSG) harnesses and leverages GIC's most valuable asset - Data - to drive insights, results and solve real business challenges. We ingest, analyse, and combine data with context across all industries and asset classes to enable investment decisions and enhance investment process. Together, we strive to build a high-performance enterprise data infrastructure, create a results-driven approach with data products, and become a data-driven organisation.

We are hiring a Data Platform Engineer (Associate/AVP) to work alongside a team of engineers responsible for key data platforms that underpin the organisation's data products and data activities.

In your new role, you will be part of a team that manages analytics engines, virtualisation and governance platforms. You will gain deep knowledge in these platforms and become a subject matter expert. You will consult for and provide advisory to internal users, and work with Data Product Managers to enable product features through leveraging the platforms. Over time, you will be expected to develop expertise in more than one platform and be able to manage and strategise holistically across multiple platforms.

Responsibilities

• Ownership and support of data platform operations, and ensuring that the data platforms are stable, resilient and can scale to match user demands across the organisation
• Liaise directly with global software vendors to understand their development roadmaps and plan for roll-out of new features and upgrades
• Measure and analyse platform usage to derive insights for continuous improvements
• Understand industry developments and identify actions required to achieve strategic data capabilities

Requirements

• Bachelor's degree in Computer Science, Computer Engineering or equivalent
• Experienced in data storage, processing, analytics and distribution software and platforms. Exposure and knowledge in any of the following technologies is advantageous:
  • Data Storage & Processing Engines e.g., Snowflake
  • Data Virtualisation e.g., Denodo
• Good working knowledge of Linux (or Unix-like) OS and enterprise-grade database technologies (Oracle, Postgres etc.)
• Strong communication/people skills required to interact with data analysts, business end-users and vendors to design and develop solutions