Data Infrastructure Specialist

2 days ago

Melbourne, Victoria, Australia beBeeDataInfrastructure Full time $120,000 - $180,000
Job Title: Data Infrastructure Specialist

About us:

We aim to save Australians' time, money, and effort by offering a one-stop destination for comparison and purchasing across various products.

The role of the Data Infrastructure Specialist involves designing, implementing, and maintaining highly available, scalable, and secure data pipelines and platforms.

Key focus areas include infrastructure as code (IaC), CI/CD for data pipelines, monitoring & observability, cost optimization, and cloud security.

  • Design, implement, and maintain CI/CD pipelines for data engineering workflows.
  • Automate data pipeline deployments, monitoring, and scaling to ensure reliability and performance.
  • Develop and enforce infrastructure-as-code (IaC) practices using tools like Terraform or AWS CloudFormation.
  • Work with Data Engineers and IT teams to optimize ETL/ELT processes and cloud data platforms.

Cloud Infrastructure & Security

  • Oversee data infrastructure in cloud environments (AWS, Azure, GCP), ensuring high availability and security.
  • Implement role-based access control (RBAC), encryption, and network security best practices within data environments.
  • Collaborate with Security and Compliance teams to ensure regulatory compliance.
  • Optimize cloud storage, compute, and networking costs while maintaining performance.

Monitoring, Observability & Incident Response

  • Implement monitoring solutions for real-time alerting, anomaly detection, and performance optimization.
  • Utilize logging and observability tools such as Prometheus, Grafana, Datadog, or Splunk.
  • Establish incident response processes, including automated rollback strategies and disaster recovery plans.
  • Work with Site Reliability Engineering (SRE) teams to ensure high system availability and minimal downtime.

Data Ops & DevOps Best Practices

  • Advocate for DataOps methodologies to improve collaboration between Data Engineering, IT, and Analytics teams.
  • Implement version control, automated testing, and release management for data pipelines.
  • Continuously improve CI/CD workflows to enhance deployment frequency and reduce failures.
  • Enforce best practices for data governance, lineage tracking, and auditability.

Qualifications & Skills:

  • Bachelor's or Master's degree in Computer Science, Data Engineering, Cloud Computing, or a related field/relevant experience.
  • Experience & Skills:
  • 3-5+ years of experience in DevOps, Data Engineering, or Cloud Infrastructure roles.
  • Hands-on experience with CI/CD tools (e.g., GitHub Actions, Jenkins, Azure DevOps).
  • Proficiency in containerization and orchestration (Docker, Kubernetes, ECS, EKS, AKS) as plus.
  • Expertise in cloud data platforms (AWS, Azure, GCP) with services like AWS Lambda, S3, RDS, Redshift, Glue, EMR, Databricks, BigQuery, etc.
  • Strong understanding of cloud networking, security policies, and identity management (IAM, VPC, KMS, Secrets Manager, etc.).
  • Ability to troubleshoot performance issues and optimize system reliability.
  • Strong experience in Python, Bash, or PowerShell for automation and scripting.
  • Ability to write automation scripts for infrastructure provisioning, deployments, and data pipeline management.
  • Ability to lead a small team and mentor junior engineers and promote DevOps best practices across teams.
  • Strong communication skills to work with both technical and non-technical stakeholders.

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