Principal Data Architect

OLLION PTE. LTD.; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

OLLION PTE. LTD. in Singapore seeks a seasoned Principal Data Architect to lead the data engineering practice and deliver complex initiatives for a government-scale Data Management Platform project.

You will own the data ecosystem, guiding a team of engineers and acting as the bridge between business stakeholders and technical delivery. You will drive architecture, security, and data model optimization on AWS, with a focus on ingestion, governance, and Qliksense analytics.

Qualifications

• 12+ years in data engineering, software development, or solution architecture.
• 8+ years leading large-scale Data Management Platforms and engineering teams.
• 5+ years AWS (S3, VPC, IAM, KMS, Secrets Manager, CloudWatch).
• 4+ years in a client-facing technical advisory role in Singapore.
• Ability to explain complex technical concepts to executives.

Responsibilities

• Own end-to-end architecture of the Data Management Platform on AWS, including ingestion, storage, transformation, serving and consumption.
• Lead a team of Data Engineers, set direction and standards, and manage performance.
• Design and govern secure multi-environment architectures spanning Dev, UAT, Pre-Prod, Prod; manage IAM, KMS, Secrets Manager usages.
• Design and optimise data ingestion patterns and S3-based integration across sources; define ETL/ELT standards.
• Model and optimise data structures for high-performance Qliksense dashboards; translate analytical requirements.
• Define test and reconciliation strategies and lead UAT with client sign-off on large-scale data platforms.
• Bridge between Singapore business stakeholders and the delivery team; discuss data strategy and platform roadmap.
• Own technical estimation, sprint and release planning input, and architectural risk management.

Skills

Data Engineering

Solution Architecture

Team Leadership

AWS Expertise

Security & Compliance

Stakeholder Management

Tools

Qliksense

Entra ID

CAM

Job description

Role Overview

We are seeking a seasoned Principal Data Architect to lead our data engineering practice and deliver complex data initiatives for a large-scale public sector Data Management Platform project in Singapore. In this role, you will take full ownership of the data ecosystem, leading a team of Data Engineers to design, build, and operate a robust platform on the Government Commercial Cloud (GCC).
You will sit on the client side in Singapore, acting as the critical bridge between the Singapore business stakeholders and our technical delivery team. You are not just overseeing delivery; you are the Lead Data Architect responsible for the solution's integrity, scalability, and security.
We need a leader who can manage executive client stakeholders to discuss data strategies, and then seamlessly pivot to working with the engineering team to debug complex AWS networking issues, optimize Data ingestion, or refine Qliksense data models.

Key Responsibilities

• Solution Architecture & Design Authority: Own the end-to-end architecture of the Data Management Platform on AWS, ingestion, storage, transformation, serving, and consumption. Act as the design authority for the engagement: make and document the Data Architectural Decisions, defend them at the client's technical and security review forums, and hold accountability for the platform's integrity, scalability, and security through to production.


• Engineering Team Leadership: Lead the team of Data Engineers delivering the platform. Set technical direction and engineering standards, allocate work across the squad, run design and code review, and manage performance, mentoring, and capability development across a distributed team. Establish the working practices that keep delivery coherent across time zones, documented design decisions, handover discipline, and clear escalation paths into you.


• AWS Platform Engineering: Design and govern secure multi-environment architectures spanning Dev, UAT, Pre-Prod, and Prod. Own the account and network topology, VPC design, routing, cross-account access patterns, IAM role and permission boundaries, KMS key hierarchy, and Secrets Manager usage, and remain hands-on enough to diagnose and resolve complex networking and access issues alongside the team.


• Data Ingestion & Pipeline Delivery: Design and optimise the Data ingestion layer and the S3-based integration patterns connecting source systems into the platform. Define ETL/ELT standards, onboarding approach for new sources, data quality and reconciliation controls, and the operational SLAs the pipelines are held to.


• Identity, Security & Compliance: Design and implement platform integration with enterprise identity, Microsoft Entra ID / WOG Entra ID and CAM, and the access model that sits on it. Ensure the platform conforms to Singapore public sector ICT and security requirements applicable to GCC workloads, including data classification and handling, encryption, logging, and retention, and produce the design and control evidence the agency's security review and audit processes require.


• Analytics Enablement: Model and optimise data structures for high-performance Qliksense dashboarding. Work with business analysts and reporting stakeholders to translate analytical requirements into performant, maintainable data models rather than one-off extracts.


• Assurance & Acceptance: Demonstrable experience defining test and reconciliation strategies and leading UAT to formal client sign-off on large-scale data platform implementations, including ownership of design, test, and operational documentation as contractual deliverables.


• Client Stakeholder Management: Act as the bridge between Singapore business stakeholders and the delivery team. Engage senior client stakeholders on data strategy, platform roadmap, and prioritisation, and translate technical constraints, cross-account access, network routing, environment promotion, source system limitations, into the terms they decide on: delivery risk, timeline, and cost.


• Delivery Governance & Assurance: Own technical estimation, sprint and release planning input, and architectural risk and issue management for the engagement. Chair design reviews, enforce change control across environments, and intervene early where delivery is drifting from the agreed architecture or the committed timeline.

Qualifications

Required Skills & Experience

• Total Professional Experience: 12+ Years in Data Engineering, Software Development, or Solution Architecture.


• Specialist Experience: 8+ Years specifically designing, leading, and managing large-scale Data Management Platforms and data engineering teams.


• Platform Expertise: 5+ Years of deep, hands-on experience with AWS (S3, VPC, IAM, KMS, Secrets Manager, CloudWatch).


• Consulting & Delivery Leadership: 4+ Years in a client-facing technical advisory role in Singapore, leading engineering squads to deliver outcome-based solutions.


• Executive Presence: Ability to explain complex technic