Data Infrastructure Architect (3-year contract), IITS
Singapore Management University
- Singapore
- Permanent
- Full-time
- This position is for Office of Integrated Information Technology Services (IITS).
- Data Platform Custodian
- Establish and administer the data platform, including controls, platform access governance, deployment schedules, etc.
- Implement adequate steps to protect data in the data platform.
- Ensure optimal platform performance and interoperability with peripheral systems.
- Plan comprehensive platform roadmap to keep the platform updated and interoperable with peripheral systems, processes and adherence to IT policies.
- Data Product Delivery Management
- Own and coordinate development and release activities, maintain SDLC practices, leverage DevOps operating model, and implement rigorous governance/data quality processes.
- Effectively manage project timelines, resources, and deliverables to ensure successful project outcomes, aligning with organizational objectives.
- Data Engineering Solution Leadership
- Lead a data engineering team to build, support and continuously improve data engineering solutions in both day-to-day data management (BAU) activities and new project implementations, including defining and orchestrating tasks and deliverables.
- Controls & Standards
- Define, develop and promote data engineering framework, standards, guidelines, procedures and practices.
- Collaborate with Data Engineers and Architects and act as a senior contributor on the design, build, and management of the Data Platform; taking direct ownership of controls and standards to ensure that all new data requirements are met using the most appropriate controls and engineering practices.
- Team Management
- Take ownership and support team and while holding team accountable for their commitments, removing roadblocks to their work.
- Leverage organizational resources to improve capacity for project work.
- Mentor and develop team members.
- Degree / Diploma in Computer Science, IT or related discipline.
- Minimum of 3 years in architect and lead roles focusing on data engineering and data platform management.
- Solid hands-on expertise in cloud-based data engineering, data warehousing and data lake solutions like Azure Data Intelligent Platform, Snowflake, Redshift, Databricks; and with proven experience orchestrating and governing data pipelines, integration, data modelling.
- Knowledge of BI concepts (i.e. ETL, dimensional modelling, data warehouse design, dashboarding) is a plus.
- Proficient in establishing and managing secure software development life cycle models, code versioning, release management, ticket management, CI/CD, and disaster recovery planning.
- Capable of assuming roles as project manager and business analyst, leading discussions from project initiation to planning and delivery of data and analytics projects.
- Experienced in managing third-party vendors, particularly offshore partners, with a focus on project delivery initiatives.
- Resourceful and able to work independently, demonstrating strong planning, organizational, and problem-solving skills to manage competing demands.
- Ability to manage and prioritise work within a small team, and function as a strong individual contributor as well as team leader. The team is small, and strong performers must demonstrate their capability as a subject matter expert.
- Excellent interpersonal, persuasive, and communication skills, with proficiency in both oral and written communication. Capable of collaborating effectively with individuals at various levels of the organization.