SENIOR PLATFORM & SECURITY ENGINEER - DIGITAL SERVICES & TECHNOLOGY OFFICE

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Campus, IL, USA
In-Office
Senior level
Agency • Information Technology • Professional Services
The Role
Designs, builds, secures, and operates an enterprise Databricks data and AI platform. Responsibilities include platform administration, Terraform-based provisioning, CI/CD governance, monitoring, cost and performance optimization, reliability management, IAM, encryption, secrets management, audit-log analysis, compliance, and incident response. The role collaborates with data engineering, governance, CI/CD, and leadership teams to improve platform security, observability, compliance, and operational resilience.
Summary Generated by Built In

[What the role is]

To design, build, secure, and operate the Enterprise Data & AI platform, ensuring it is reliable, cost-efficient, and compliant with enterprise governance standards. This role owns both the technical platform layer (clusters, jobs, CI/CD, monitoring) and the security layer (encryption, IAM, audit).
This is a 2-year contract position with the Digital Services & Technology Office.

[What you will be working on]

Platform Operations

  • Configure and maintain Enterprise Data and AI platform (e.g. Databricks workspaces, clusters, SQL warehouses, endpoints and workflows).

  • Automate provisioning and deployments using Terraform, Databricks CLI, or APIs.

  • Design and govern CI/CD frameworks used by Data Engineers for ETL/ML deployments, ensuring secure, compliant, and automated delivery workflows.

  • Monitor platform usage, cost trends, and optimize performance of workloads.

  • Maintain platform reliability and meet defined uptime and service-level objectives.

Security Engineering

  • Implement and maintain security controls for the enterprise data platform, including encryption, secrets management, and secure access patterns.

  • Define and enforce role-based and attribute-based access policies across data assets and cloud compute resources.

  • Configure secret scopes and secure service principal access.

  • Monitor platform audit and activity logs to detect policy violations, anomalous access, and compliance risks.

  • Ensure platform operations align with NP’s security, compliance, and regulatory requirements (e.g., IM8, NIST, GDPR. PDPA where applicable).

Collaboration

  • Work closely with Data Engineers, Governance Leads, and Analysts to ensure data pipelines, workflows, and products adhere to security and platform standards.

  • Work closely with CI/CD team to integrate monitoring and alerting into observability stack.

  • Advise leadership on platform performance and security posture and risks, optimisation opportunities, as well as compliance gaps.

[What we are looking for]

  • 3–5 years in cloud platform engineering or security engineering.

  • Proven experience managing and securing large-scale data or ML platforms.

  • Prior work in regulated industries (finance, healthcare, government) is a plus.

Skills & Certifications

  • Certifications:

    • Degree or Diploma in Computer Science, Computer Engineering, Information Technology or equivalent.

    • Cloud security certs: Azure Security Engineer Associate / AWS Security Specialty / GCP Security Engineer.

    • Infrastructure-as-code: Terraform or equivalent.

    • Databricks Certified Administrator or Databricks Security Engineer is a plus

  • Technical Skills:

    • Cloud IAM, KMS, VPC/VNet, firewall/security groups.

    • Encryption standards (AES, envelope encryption).

    • CI/CD (Azure DevOps, GitHub Actions, Jenkins).

    • Databricks platform administration (clusters, jobs, SQL warehouses, UC integration).

  • Other Skills:

    • Strong knowledge of monitoring/observability stacks (e.g. Azure Monitor).

    • Incident response and audit log analysis.

    • Experience in GCC/GCC2.0 is a plus.

Attributes

  • Reliability-focused and security-first mindset with attention to detail.

  • Strong collaborator with engineering, governance, and leadership.

  • Proactive in risk identification and mitigation.

  • Balanced approach: performance and cost optimization while ensuring compliance.

Skills Required

  • 3-5 years of experience in cloud platform engineering or security engineering
  • Experience managing and securing large-scale data or machine learning platforms
  • Degree or diploma in Computer Science, Computer Engineering, Information Technology, or equivalent
  • Experience with infrastructure as code, preferably Terraform
  • Knowledge of cloud IAM, KMS, VPC/VNet, firewalls, and security groups
  • Knowledge of encryption standards, including AES and envelope encryption
  • Experience with CI/CD platforms such as Azure DevOps, GitHub Actions, or Jenkins
  • Databricks platform administration experience, including clusters, jobs, SQL warehouses, and Unity Catalog integration
  • Strong knowledge of monitoring and observability stacks, such as Azure Monitor
  • Experience with incident response and audit-log analysis
  • Cloud security certification such as Azure Security Engineer Associate, AWS Security Specialty, or GCP Security Engineer
  • Experience in regulated industries such as finance, healthcare, or government
  • Databricks Certified Administrator or Databricks Security Engineer certification
  • Experience with GCC or GCC 2.0

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What We Do

The Singapore Economic Development Board (EDB) is a government agency responsible for strategies that enhance Singapore’s position as a global centre for business, innovation, and talent. It undertakes investment promotion and industry development.

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