Database Engineering Lead

Equifax; Sydney; On-site; AUD 180,000 - 260,000; Full time

Job summary

Equifax in Sydney seeks a Database Engineering Lead to balance technical leadership with hands-on execution, directly managing a small team to optimize and scale enterprise data platforms. You will design and operationalise large-scale data solutions, ensure automated provisioning, and drive transformation across data products while enforcing change and incident processes.

With 10–15 years in database administration and leadership, you will implement IaC patterns, monitor via

Qualifications

• Bachelor's degree in CS or related field, or equivalent practical experience.
• 10–15 years in database and system administration with 24/7 support.
• Experience leading engineering teams and driving data platform initiatives.

Responsibilities

• Design, develop, and operationalise large-scale enterprise data solutions.
• Ensure automated provisioning of database environments.
• Guide team on IaC patterns aligned with standards.
• Establish monitoring and dashboards (DataDog, Prometheus, Grafana, Log Analytics, and DPA) to meet SLOs.
• Drive technology transformation and enforce change, incident, and problem management processes.
• Implement Lean practices to streamline workflows.
• Collaborate with leadership to support strategic tech goals.

Skills

Team leadership

CI/CD

Data pipelines

Database admin

Performance tuning

24/7 operations

Education

Bachelor of Science in Computer Science

Tools

Google Cloud Platform (GCP)

GKE

Terraform

Python

Chef

GitHub

Job description

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.

What Could Set You Apart

• Strong experience in GCP Cloud platform
• Hands-on experience with GKE and distributed databases such as SQL, Postgres, DB2
• Practical background partnering with team to build resilient systems, operational capabilities, and automated monitoring standards.
• Flexibility with working hours to collaborate effectively with distributed team members spread across the globe

We know great things happen when teams connect. Our schedule is built around 4 days of high-impact, in-office collaboration (Monday–Thursday), paired with Friday Flexibility to wrap up your week remotely.

We are proud to hold a Reflect Reconciliation Action Plan (RAP) and encourage applications from Aboriginal and Torres Strait Islander peoples. We welcome people of all backgrounds, knowing that diverse perspectives spark the innovation we need to win.

Primary Location:

AUS-Sydney-Blue-Street

Function:

Function - Tech Engineering and Service Ops

Schedule:

Full time