Presales Data Architect - AWS
Germany - Remote
Rackspace
As a cloud computing services pioneer, we deliver proven multicloud solutions across your apps, data, and security. Maximize the benefits of modern cloud.Requirements
- Provide technical pre-sales and post-sales support for analytics and data science engagements to prospective and existing customers.
- Lead, define, and implement end-to-end modern data platforms in support of analytics and AI use cases.
- Participate in customer-facing meetings to determine business and technical requirements that will be used in developing solutions.
- Collaborate with CDOs, Enterprise Architects, Data Architects, Data Engineers, Data Scientists and provide technical product expertiseand prioritize use-cases for customers.
- Define and capture customer success criteria to design, build, and manage end-to-end Proof-of-Concepts for our customers.
- Document customer requirements, create statement of work for the services engagement and facilitate a clean hand-off to the post-salesprofessional services team.
- Work alongside Account Executives to drive the deal strategy, helping address any knowledge gaps and build trust with the prospect through their journey towards becoming a customer.
- Consistently improve current processes, making presentations, demos, and business case presentations more repeatable, scalable, and compelling.
Technical Requirements
- Experience in delivering end-to-end analytics and data science solutions from idea conception through planning, requirements, design, development, testing, 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, such as storage, firewall, security, key vault, etc., 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.
About Rackspace TechnologyWe are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — 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. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future. More on Rackspace TechnologyThough we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow AWS Business Analytics CI/CD Databricks DataOps dbt Engineering fastai HuggingFace Keras LightGBM Machine Learning MLOps Python PyTorch Redshift SageMaker Scikit-learn Security Snowflake Spark SQL TensorFlow Testing XGBoost
Perks/benefits: Career development
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