Data Solutions Architect

6 days ago

Sydney, New South Wales, Australia Rackspace Full time

Job Summary

We are seeking an experienced Data Solutions Architect to join our team in Sydney. As a key member of our data practice, you will play a critical role in designing and implementing modern data platforms that enable analytics and AI use cases.

About the Role

In this position, you will lead the design and implementation of end-to-end data solutions, collaborating with cross-functional teams to identify and define required data structures, formats, pipelines, metadata, and workload orchestration capabilities.

You will have expertise in cloud-based data architectures, including AWS, and experience with big data frameworks, data ingestion, processing, storage, and compute. You will also be responsible for addressing data privacy and security concerns, as well as ensuring compliance with relevant regulations.

Requirements

  • 5+ years of experience leading engagements from design to implementation of creative data solutions leveraging the latest in Big Data frameworks
  • Experience architecting solutions for optimal extraction, transformation, and loading of data from a wide variety of traditional and non-traditional sources
  • 3+ years of experience with analytics/data management strategy formulation, architectural blueprinting, business case development, and effort estimation
  • Strong understanding of software development, Agile development methods, and cloud-based data services
  • Certifications in architecture, data engineering, and development from AWS or other cloud providers (preferred)

What We Offer

As a valued member of our team, you will receive a competitive salary of $120,000-$180,000 per year, depending on experience, plus benefits and opportunities for professional growth and development.

About Rackspace Technology

Rackspace Technology is a multicloud solutions expert, combining expertise with the world's leading technologies to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future.

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