Chief Data Architect

2 days ago

Sydney, New South Wales, Australia beBeeData Full time $1,249,104 - $1,647,165
About the Role

We are seeking a seasoned data professional to spearhead our data department.

In this role, you will develop scalable data ingestion pipelines for property data assets, establishing them as the authoritative source for all property-related decisions and lifecycle journeys across various products and business units within the ecosystem.

Key Responsibilities:
  • Design and implement robust, scalable data solutions in a dynamic environment with evolving products and opportunities
  • Develop automated workflows with agentic AI solutions
  • Collaborate effectively with data architects, platform engineers, and data consumers to define technical requirements and integrate robust data solutions
  • Provide technical leadership, mentorship, and guidance to junior and mid-level Data Engineers on advanced techniques, design patterns, and problem-solving
Requirements

To be successful in this role, you will need:

  • 4+ years of proven experience as a Senior Data Engineer in commercial/business environments
  • Expert-level proficiency in SQL, with a deep understanding of advanced data modeling, query optimization, and data warehousing concepts
  • Hands-on experience architecting, building, and optimizing advanced data solutions on a modern cloud data platform (Snowflake or BigQuery is a must)
  • Demonstrated mastery in designing and implementing complex data orchestration frameworks and transformation pipelines using tools like Apache Airflow and DBT
  • Extensive programming experience in Python for building robust, scalable data applications and automation
  • Proven experience designing and managing data solutions on a major cloud platform (AWS preferred; GCP/Azure valued)
  • Proficiency with version control systems (Git) and CI/CD practices for data engineering
Preferred Qualifications

The following qualifications would be highly desirable:

  • Knowledge of the real estate industry and its data challenges
  • Experience with streaming data frameworks and real-time data processing
  • Understanding of Infrastructure as Code (IaC) principles and experience with tools like CDK, CloudFormation, or Terraform is highly desirable
  • Familiarity with various ETL tools and services (e.g., SSIS, Fivetran, Stitch, Talend, Airbyte, Matillion)

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