Principal Engineer, AI & Data Engineering, Data Solutioning, xData

HTX (Home Team Science & Technology Agency); Singapore; On-site; SGD 180,000 - 280,000; Full time

Job summary

HTX, Singapore's Science and Technology agency, seeks a Principal Engineer (AI & Data Engineering) to architect and lead a scalable HTX AI Data Platform and the engineering teams powering cutting‑edge AI solutions for the Home Team.

You will design end‑to‑end data lifecycles, enforce data quality and governance, ensure security and regulatory compliance, and collaborate with AI Product teams to deliver platforms on schedule.

Qualifications

• Tertiary qualification in Computer Science, Information Technology or related disciplines.
• Minimum 8 years of relevant working experience including a minimum of 3 year in a leadership position.
• Strong interest in technologies and innovation, particularly in AI Data Engineering, solutioning and data management.
• Strong planning and project management skills. PMP or equivalent certification would be an advantage.
• Able to work independently and within a team.
• Facilitation skills, planning skills, problem-solving skills, organising capabilities and foresight to drive projects.
• Good interpersonal and communications skills for internal/external stakeholders’ engagement.
• Experience in building government systems that meet IM8 policies would be an advantage.
• Able to design and implement a data system solution.
• Has professional experience with Hadoop ecosystem would be an advantage.
• Has experience in building solutions on any cloud provider e.g. AWS, Azure, GCP.
• Strong knowledge in networking and system security would be an advantage
• Possess strong knowledge in Data modelling (OLTP, OLAP, dimensional modelling), Cloud data services (AWS Redshift, GCP BigQuery, Azure Synapse/Microsoft Fabric, Snowflake, Databricks, etc.), Big data technologies (Spark, Kafka, Flink, etc.) and ETL/ELT frameworks and tools (Airflow, Talend, Informatica, dbt, etc.)
• Hands‑on experience with SQL, Python and distributed systems.

Responsibilities

• AI Data Architecture: develop and implement a cohesive data strategy across Home Teams that aligns with organisation’s AI goals.
• Provide SME guidance to formulate capabilities development roadmaps for the AI and Data Engineering domain
• Oversee data integration from various sources, ensuring consistency, accuracy and accessibility.
• Data Pipeline Development: Build and manage efficient data pipelines to process large volumes of data for AI products and applications.
• Data Quality Assurance: Establish protocols for data quality, validation, and governance.
• Review all enterprise AI Data Platform (including Data Governance and compliance with IM requirements) & Data Engineering requirements to deliver AI Product to ensure technical feasibility, completeness and comprehensiveness with high quality.
• Optimize data processing performance for complex AI models.
• Ensure data security and compliance with relevant regulations and standards. Including AI Governance and Security
• Stay updated with the latest AI Data Engineering technologies and best practices, advocating for the adoption within HTX.
• Guide the team to deliver the AI Platforms and Data Engineering capabilities within stipulated timeline, compliant with governance and security guidelines/standards.
• Support DDs in xData and work closely with AI Data Engineering, AI Product teams, AI Enablers and PMCs to resolve and overcome any programme and project department challenges.
• Assumes oversight of AI Data Platform and Engineer systems and development of AI Products to ensure continuous ops capabilities, including technology refresh, preventive maintenance, and corrective maintenance work.
• Review audit findings and recommendations, and propagate the lesson learnt and corrective actions across the PMTs.
• Facilitate the formulation of data sharing and data consumption requirements, design, implementation and integration of data solution for the identified project.

Skills

Leadership

AI Data Engineering

Data management

Project planning

Communications

Stakeholder engagement

Problem solving

Education

Bachelor's degree in CS/IT

Tools

Hadoop ecosystem

Cloud platforms AWS/Azure/GCP

SQL

Python

Airflow

Databricks

Big data tools (Kafka, Spark)

ETL/ELT tools (dbt, Talend, Informatica)

Job description

What The Role Is

HTX is Singapore's Science and Technology agency that brings together diverse scientific and engineering capabilities to develop transformative, operationally ready solutions for public safety. As a statutory board under the Ministry of Home Affairs, HTX works at the forefront of science and technology to empower the Home Team with cutting‑edge capabilities. Guided by our mission to amplify, augment and accelerate the Home Team's advantage, we are committed to keeping Singapore the safest place on planet Earth.

What The Role Is

HTX is Singapore's Science and Technology agency that brings together diverse scientific and engineering capabilities to develop transformative, operationally ready solutions for public safety. As a statutory board under the Ministry of Home Affairs, HTX works at the forefront of science and technology to empower the Home Team with cutting‑edge capabilities. Guided by our mission to amplify, augment and accelerate the Home Team's advantage, we are committed to keeping Singapore the safest place on planet Earth.

From data to decisions, from insight to action — we harness data, AI and technology for public safety. By applying data science, AI, and engineering, we build enterprise data and exchange platforms, innovative products, and sensor‑driven systems that transform complexity into situational awareness for the Home Team, safeguarding our nation’s future.

The Principal Engineer (AI & Data Engineering) is responsible to architect and lead the development of scalable, intelligent and robust HTX AI Data Platform & Engineering that power cutting‑edge AI solutions in HTX and Home Teams. This role plays a pivotal role to designing and optimizing the end-to-end lifecycle, from ingestion to consumption, ensuring that AI models are fuelled by high‑quality, well‑governed, and rich contextual data. This role drives Home Teams Data Platforms and System Integrations and AI Data Platform & Engineering that comprises of multiple systems in different phases.

What You Will Be Working On

• AI Data Architecture: develop and implement a cohesive data strategy across Home Teams that aligns with organisation’s AI goals.
• Provide guidance as SME to formulate capabilities development roadmaps for the AI and Data Engineering domain
• Oversees the integration of data from various sources, ensuring consistency, accuracy and accessibility.
• Data Pipeline Development: Build and manage efficient data pipelines to process large volumes of data for AI products and applications.
• Data Quality Assurance: Establish protocols for data quality, validation, and governance.
• Review all enterprise AI Data Platform (including Data Governance and compliance with IM requirements) & Data Engineering requirements to deliver AI Product to ensure technical feasibility, completeness and comprehensiveness with high quality.
• Optimize data processing performance for complex AI models.
• Ensure data security and compliance with relevant regulations and standards. Including AI Governance and Security
• Stay updated with the latest AI Data Engineering technologies and best practices, advocating for the adoption within HTX.
• Guide the team to deliver the AI Platforms and Data Engineering capabilities within stipulated timeline, compliant with governance and security guidelines/standards.
• Support DDs in xData and work closely with AI Data Engineering, AI Product teams, AI Enablers and PMCs to resolve and overcome any programme and project department challenges.
• Assumes oversight of AI Data Platform and Engineer systems and development of AI Products to ensure continuous ops capabilities, including technology refresh, preventive maintenance, and corrective maintenance work.
• Review audit findings and recommendations, and propagate the lesson learnt and corrective actions across the PMTs.
• Facilitate the formulation of data sharing and data consumption requirements, design, implementation and integration of data solution for the identified project.

What We Are Looking For

• Tertiary qualification in Computer Science, Information Technology or related disciplines.
• Minimum 8 years of relevant working experience including a minimum of 3 year in a leadership position.
• Strong interest in technologies and innovation, particularly in AI Data Engineering, solutioning and data management.
• Strong planning and project management skills. PMP or equivalent certification would be an advantage.
• Able to work independently and within a team.
• Facilitation skills, planning skills, problem-solving skills, organising capabilities and foresight to drive projects.
• Good interpersonal and communications skills for internal/external stakeholders’ engagement.
• Experience in building government systems that meet IM8 policies would be an advantage.
• Able to design and implement a data system solution.
• Has professional experience with Hadoop ecosystem would be an advantage.
• Has experience in building solutions on any cloud provider e.g. AWS, Azure, GCP.
• Strong knowledge in networking and system security would be an advantage
• Possess strong knowledge in Data modelling (OLTP, OLAP, dimensional modelling), Cloud data services (AWS Redshift, GCP BigQuery, Azure Synapse/Microsoft Fabric, Snowflake, Databricks, etc.), Big data technologies (Spark, Kafka, Flink, etc.) and ETL/ELT frameworks and tools (Airflow, Talend, Informatica, dbt, etc.)
• Hands‑on experience with SQL, Python and distributed systems.

All new hires are appointed on a two-year contract in the first instance and will be assessed and considered for permanent tenure over time, based on performance.

As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.

All applicants will be updated on the status of their applications within 4 weeks upon closing of the advertisement.