Database Engineering Lead - Equifax

OpenTalent; Sydney; On-site; AUD 180,000 - 240,000; Full time

Job summary

Equifax is seeking a Database Engineering Lead in Sydney to balance technical leadership with hands-on execution, managing a small team to optimize enterprise data platforms. You will oversee complex databases for high availability, low latency, and automated repeatability.

This role requires 10–15 years in database operations, leadership experience, and strong IaC with Terraform/Python/Chef, plus GCP analytics exposure to drive enterprise tech goals.

Qualifications

• Bachelor of Science degree in Computer Science or related field.
• 10–15 years of experience in database administration, system administration, and 24/7 operational support for traditional databases.
• Experience leading technical teams of engineers.
• 4+ years of experience with Google Cloud Platform (GCP) analytical services.

Responsibilities

• Design, develop, and operationalise large-scale enterprise data solutions focused on high availability, low latency, and scalability.
• Ensure all database environments are provisioned using automated and repeatable procedures.
• Guide team members to build IaC patterns that adhere to engineering and security standards.
• Establish system-wide monitoring, alerting, and dashboards using DataDog, Prometheus, Grafana, Log Analytics, and DPA to meet SLOs.
• Drive technology transformation across data products while enforcing change, incident, and problem management processes.
• Implement Lean practices across database operations to streamline workflows and eliminate waste.
• Collaborate with leadership teams to support strategic enterprise technology goals.

Skills

Lead technical teams

CI/CD tooling

Infrastructure as Code

Education

Bachelor of Science in CS

Tools

SQL Server

Oracle

Postgres

MySQL

Terraform

Python

Chef

GitHub

Job description

• Sydney
• Australia
• Technology
• Full time
• 9/4/2026
• J00178596

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.

Work Location - Sydney ONLY

As the Database Engineering Lead, you will balance technical leadership with hands-on execution, direct-managing a small team to optimize and scale our enterprise data platforms. In this role, you will evaluate, review, and manage complex database environments to ensure high availability, low latency, and automated repeatability across the enterprise. It's an ideal opportunity for a technical expert looking to lead from the front while shaping Equifax’s data infrastructure

What You’ll Do

• Design, develop, and operationalise large-scale enterprise data solutions focused on high availability, low latency, and scalability.
• Ensure all database environments are provisioned using automated and repeatable procedures.
• Guide team members to build Infrastructure as Code (IaC) patterns that adhere to engineering and security standards.
• Establish system-wide monitoring, alerting, and dashboards using tools such as DataDog, Prometheus, Grafana, Log Analytics, and DPA to meet published SLOs.
• Drive technology transformation across existing and new data products while enforcing change, incident, and problem management processes.
• Implement Lean practices across database operations to streamline workflows and eliminate waste.
• Collaborate across organizational boundaries with leadership teams to support strategic enterprise technology goals.

What Experience You Need

• Bachelor of Science degree in Computer Science, a related technical field (e.g., Physics or Mathematics), or equivalent practical experience.
• 10-15 years of experience in database administration, system administration, performance tuning, and 24/7 operational support for traditional databases (SQL Server, Oracle, Postgres, or MySQL).
• Previous experience in leading technical teams of engineers.
• 4+ years of experience with Google Cloud Platform (GCP) analytical services (e.g., BigQuery, Cloud Spanner, Dataflow, Cloud Storage, Cloud Data Fusion, Cloud Functions, or Cloud Composer).
• Proven experience implementing Infrastructure as Code (Terraform, Python, or Chef) and using source code repositories (GitHub).
• Demonstrated experience designing and building production data pipelines from ingestion to consumption within hybrid big data architectures.
• Hands‑on proficiency with continuous integration and continuous delivery (CI/CD) tooling and practices.