Join Our Team as a Pre-Sales Data Architect - AWS at Rackspace Technology

At Rackspace Technology, we're accelerating the value of the cloud during our exciting growth phase. We are currently seeking a talented Pre-Sales Data Architect specialized in AWS to enhance our Rackspace Cloud data practice. This pivotal role will make you the go-to expert in the region, allowing you to shape the delivery of data projects and drive transformative outcomes for our customers.

What You'll Do

As an integral part of our team, you'll collaborate with sales teams and customers, designing cutting-edge solutions on AWS to meet varied business needs. This is a solutions-driven role that emphasizes:

• Engaging with a broad spectrum of customer stakeholders, including Business Owners, Analytics Teams, Data Engineers, and Executives.
• Educating and influencing prospective customers about the benefits of our Rackspace Data Services across both Professional and Managed Services.
• Guiding customers through their data transformation journey, reinforcing Rackspace's capabilities as a trusted partner from assessment to execution.

Your Responsibilities

In this dynamic role, your responsibilities will span the spectrum from technical pre-sales to strategic post-sales support:

• Lead the development and implementation of modern data platforms tailored for analytics and AI.
• Engage in customer meetings to extract business and technical requirements for solution development.
• Collaborate closely with CDOs, Enterprise Architects, and other critical stakeholders, providing technical expertise and priority use-case definition.
• Design, manage, and document end-to-end Proof-of-Concepts that convincingly demonstrate the value of our solutions.
• Support the Account Executives in deal strategy, enhancing knowledge sharing and building trust with prospective clients.

Requirements

Ideal candidates will have:

• Over 10 years of experience in data engineering and data science, with a proven record of delivering large-scale data solutions on AWS.
• Expertise in AWS services such as Glue, SageMaker, and Redshift; familiarity with Snowflake, Databricks, DBT, and Airflow is advantageous.
• Strong familiarity with lakehouse technologies, and major machine learning tools.
• Proficiency in SQL, Python, Spark, and Agile project methodologies.
• Experience with DataOps and MLOps principles essential for modern data management and orchestration.

About Rackspace Technology

As the global multicloud solutions expert, we are committed to delivering end-to-end solutions that leverage the leading technologies across applications, data, and security. Rackspace Technology, recognized consistently as a best place to work, is dedicated to attracting and fostering top-tier talent. We invite diverse candidates passionate about upholding our mission to deliver the future of technology.

Interested in being at the forefront of the cloud industry with Rackspace Technology? Apply today to be our new Pre-Sales Data Architect - AWS and help shape the future of our cloud data solutions.