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Senior Data Architect

3 weeks ago

Melbourne, Victoria, Australia beBeeData Full time $125,000 - $175,000

We are seeking an experienced Data Architect to lead the design and delivery of modern, scalable, and secure data architectures that enable enterprise-wide data capabilities.

This role will guide the engineering community through best practices, uplift technical delivery standards, and play a critical role in influencing strategic data and cloud transformation initiatives.

Responsibilities
  • Architect Scalable Data Platform Solutions: Design and implement modern, cloud-native data architectures (e.g., Snowflake, Databricks, AWS) that scale with business needs and comply with governance, privacy, and security standards.
  • Drive Engineering Excellence: Champion and implement best practices across CI/CD, automated testing, observability, and DevSecOps for data pipelines and platforms.
  • Platform Interoperability & Enablement: Ensure data architectures enable seamless data flow, integration, and collaboration across platforms, domains, and teams.
  • Mentor & Uplift Engineering Capability: Provide thought leadership and hands-on coaching to elevate engineering maturity, solution design quality, and technical problem solving across our Enterprise Technology teams.
  • Strategic Alignment & Influence: Collaborate with architecture, security, and platform leaders to influence enterprise-wide cloud and data strategy.
  • Operational Reliability: Lead the design of resilient data services with robust SLAs, automated recovery, and proactive monitoring.
  • Data Governance & Compliance: Partner with governance teams to embed metadata management, lineage tracking, and access controls into data solutions by design.

The ideal candidate should have 10+ years of experience in data engineering, including leading complex, enterprise-scale data initiatives.

Demonstrated expertise in building data pipelines using modern frameworks such as DBT, Airflow, Kafka, and Spark is also required.

Additionally, the candidate must have experience designing and building self-service Data Platforms; proven leadership in designing data solutions with strong performance, scalability, security, and reliability characteristics.

Requirements
  • Cloud Data Platforms (Snowflake, AWS, Azure Data Services, Databricks)
  • Modern Data Pipelines (DBT, Airflow, Kafka, Spark)
  • Automation (Infrastructure as Code, Python, Terraform, CloudFormation)
  • Data Governance and Security

If you are comfortable in a fast-moving and changing environment and operating with levels of ambiguity, we would love to chat with you.

We offer a flexible working environment and support a safe, healthy, engaging, and productive working environment for all employees and workers.