Cloud Data Architect

5 days ago

Melbourne, Victoria, Australia beBeeDataEngineering Full time $100,000 - $140,000
Job Overview

This role involves architecting and implementing innovative solutions that drive digital transformation. As a key member of the data engineering team, you will shape large-scale data ingestion, processing, storage, and analytics in cloud environments.

You will design and implement data models, data storage, performance optimisation, security, DevOps, and test automation solutions. This requires a hands-on approach and collaboration with other data specialists in a culture that values continuous learning and knowledge sharing.


Key Responsibilities
  • Work closely with clients designing solutions for data platforms, focusing on ETL, ELT, ALT, lambda, and kappa architectures.
  • Build prototypes and solutions for cloud, on-prem, hybrid, and edge-based data platforms.
  • Create and maintain infrastructure-as-code for cloud, on-prem, and hybrid environments using tools such as Terraform, CloudFormation, Azure Resource Manager, Helm, and Google Cloud Deployment Manager.
  • Collaborate with team members on design patterns, data governance, DevOps, testing, and performance optimization.

Required Skills and Qualifications
  • Deep understanding of modern data architecture and its application to business transformation.
  • Expertise in cloud-native architectures, with practical experience in hyperscaler platforms.
  • Experience designing, building, and optimizing scalable data pipelines and distributed systems in Snowflake and/or Databricks.
  • Expertise in Python and SQL, with deep knowledge of performance tuning, sharding, partitioning, and indexing.
  • Understanding of database technologies, including relational, NoSQL, and cloud-native storage solutions.
  • Experience in CI/CD, automated testing, and cloud infrastructure-as-code.
  • Excellent written, verbal, numerical, and presentation skills.
  • Willingness to travel and work on client sites to deliver exceptional services.

Benefits
  • Opportunity to work on cutting-edge projects in the field of data engineering.
  • Chance to collaborate with experienced professionals and contribute to the growth of the company.
  • A dynamic and supportive work environment that fosters continuous learning and skill development.

Others
  • Seniority level: Mid-Senior level
  • Employment type: Full-time
  • Job function: Engineering and Information Technology
  • Industries: Business Consulting and Services

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