Senior Cloud Data Architect

3 days ago

Melbourne, Victoria, Australia beBeeDataArchitect Full time $144,000 - $208,000

Job Overview

Lead Data Architect and Engineer

This role is a critical part of our enterprise-wide data capabilities. As a Lead Data Architect and Engineer, you will be responsible for designing and delivering modern, scalable, and secure data architectures.

Key to this role is guiding the engineering community through best practices, uplifting technical delivery standards, and influencing strategic data and cloud transformation initiatives.

Responsibilities:

  • Data Platform Architecture: Design and implement modern, cloud-native data architectures that scale with business needs and comply with governance, privacy, and security standards.
  • 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.
  • Mentorship & Uplift: 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.
  • Partnerships & Collaboration: Actively contribute to the adoption of new operating models by embedding reusable design patterns and engineering principles into data product delivery.

Requirements

  • 10+ years of experience in data engineering, including leading complex, enterprise-scale data initiatives.
  • Demonstrates a strong understanding and experience of cloud data platforms (Snowflake, AWS, Azure Data Services, Databricks, etc.).
  • Must have expertise in building data pipelines using modern frameworks such as DBT, Airflow, Kafka, and Spark.
  • An automation first mindset, building Data Platforms as Infrastructure as code, with significant experience in Python, Terraform, CloudFormation, etc.
  • Experience designing and building self-service Data Platforms; Proven leadership in designing data solutions with strong performance, scalability, security, and reliability characteristics.
  • Experience mentoring engineers and uplifting team capability.
  • Understanding of data governance, security, and privacy regulations.
  • Strong stakeholder engagement and communication skills.

What We're Looking For

We are looking for an experienced professional who can lead the development of modern data architectures and drive technical excellence across our organization. If you have a passion for innovation, a talent for leadership, and a commitment to delivering high-quality solutions, we encourage you to apply.

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