Multi-Cloud Data Ingestion Architect & Lead Engineer

Multi-Cloud Data Ingestion Architect & Lead Engineer

Full-Time 121500 - 148500 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Lead the design and implementation of cloud-agnostic data ingestion frameworks.
  • Company: Join NCS Australia, a leader in enterprise transformation.
  • Benefits: Enjoy competitive pay, flexible work options, and career advancement opportunities.
  • Other info: Be part of a dynamic team driving cutting-edge technology solutions.
  • Why this job: Make a significant impact on multi-cloud data strategies and innovations.
  • Qualifications: Experience in data engineering and architectural design is essential.

The predicted salary is between 121500 - 148500 $ per year.

NCS Australia is seeking an experienced Solution Designer / Lead Data Engineer to drive a major enterprise transformation—uplifting and scaling our Data Ingestion framework across cloud platforms. You will blend architectural design with hands-on data engineering to deliver modular, cloud-agnostic ingestion patterns for batch and streaming data across multi-cloud and hybrid environments.

You will lead architecture and design efforts, author SDDs, and guide squads building high-throughput.

Multi-Cloud Data Ingestion Architect & Lead Engineer employer: NCS Group Australia

NCS Australia is an exceptional employer that prioritises a collaborative and innovative work culture, making it an ideal place for an Email Security Engineer. With a strong focus on employee growth and development, team members are encouraged to enhance their skills while contributing to meaningful projects that protect vital data. Located in a dynamic environment, employees benefit from a supportive atmosphere that values security expertise and fosters professional advancement.

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Contact Details:

NCS Group Australia Recruitment Team

We think you need these skills to ace Multi-Cloud Data Ingestion Architect & Lead Engineer

Solution Design
Data Engineering
Cloud Architecture
Data Ingestion Frameworks
Batch Data Processing
Streaming Data Processing
Multi-Cloud Environments