Rackspace Technology is hiring a
Presales Data Architect in Germany

Summary

The job is for a Presales Data Architect at Rackspace Cloud to help grow the data practice and support sales of AWS projects. The role involves consultative engagements, technical pre-sales and post-sales support, leading data platform implementations, participating in customer meetings, collaborating with various teams, defining customer success criteria, documenting requirements, improving processes, and having 10+ years of data engineering and data science experience on AWS.

Requirements

• Experience in delivering end-to-end analytics and data science solutions from idea conception through production and deployment/business process integration
• 10+ years of data engineering and data science experience leading implementations of large-scale lakehouses and AI systems on AWS
• Prior experience in Glue, Sagemaker and Redshift is mandatory
• Previous experience using Snowflake, Databricks, DBT and Airflow will be a plus
• Prior experience with lakehouse technologies like Hudi and Delta Lake and related infrastructure services is required
• Prior experience with ML tools such as TensorFlow/Keras, PyTorch Lightning, HuggingFace, Fastai, scikit-learn, XGBoost, LightGBM, Ray is required
• Prior experience in DataOps principles like CI/CD, pipeline and data observability, lineage, data catalog, and MLOps required
• Strong programming/scripting experience using SQL, Python, and Spark
• Experience with Agile development methods in data-oriented projects

Responsibilities

• Help grow the Rackspace Cloud data practice
• Support sales of our data projects on AWS
• Work directly with the sales team to propose solutions to customers
• Evangelize the Rackspace Data Services value proposition
• Engage with customers early in their transformation journey
• Provide technical pre-sales and post-sales support for analytics and data science engagements
• Lead, define, and implement end-to-end modern data platforms
• Participate in customer-facing meetings to determine business and technical requirements
• Collaborate with various teams and provide technical product expertise
• Define and capture customer success criteria
• Document customer requirements and create statement of work for the services engagement
• Facilitate a clean hand-off to the post-sales professional services team
• Work alongside Account Executives to drive the deal strategy
• Improve current processes, making presentations, demos, and business case presentations more repeatable, scalable, and compelling