Sr. Data Engineering Delivery Architect (Azure Data Services)

$143,700 - $204,000/Yr

Rackspace Technology - San Antonio, TX

Full-time - Senior

San Antonio, TX

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

The Sr. Data Engineering Delivery Architect at Rackspace will play a pivotal role in growing the Rackspace Cloud data practice, serving as the regional expert in Azure data services. This position involves direct customer engagement, supporting the delivery of data projects, and mentoring within a large Azure data team. The architect will oversee strategic accounts, make key delivery decisions, and ensure successful outcomes for clients by leveraging cutting-edge technology and innovative data solutions.

Responsibilities

• Lead, define and implement end-to-end modern data platforms on Azure public cloud using 1st party services in support of analytics and AI use cases
• Design and drive reusable assets, growing Analytics and DevOps capability
• Solution and deliver modern data platforms and advanced analytics solutions for clients
• Collaborate with enterprise architects, data architects, ETL developers & engineers, data scientists, and information designers to lead the identification and definition of required data structures, formats, pipelines, metadata, and workload orchestration capabilities
• Address aspects such as data privacy & security, data ingestion & processing, data storage & compute, analytical & operational consumption, data modelling, data virtualization, self-service data preparation & analytics, AI enablement, and API integrations
• Act as the technical liaison between customers and engineering teams
• Educate customers on the value of cloud and data services as a data evangelist
• Present recommendations to clients using both written deliverables and face-to-face discussions
• Develop deep relationships with clients and act as the single point of contact for client executives on data engagements

Requirements

• 10+ years' experience leading engagements from design to implementation of creative data solutions leveraging the latest in Spark based modern data platforms on public cloud
• At least 5 full lifecycle data platform deployments on Azure using 1st party Services
• Extensive experience with Azure Data Factory, Azure Synapse Analytics, Azure Databricks
• Strong Spark, SQL, Data Modeling, Data lakehouse concepts
• Strong programming/scripting experience using Python and Scala
• Strong experience using Data & AI tools such as Azure Storage, Stream Analytics, CosmosDB, SQL DW, Azure Databricks, Azure Machine Learning, Azure Data Catalog, and Azure Data Factory (ADF), Blob, Azure SQL, Polybase, Delta, Engineering Pipeline Design, Azure Technical Architecture and Data Lake Design
• 8+ years' experience architecting solutions for optimal extraction, transformation and loading of data from a wide variety of traditional and non-traditional sources
• 5+ years' experience with analytics/data management strategy formulation, architectural blueprinting and effort estimation of analytics
• 5+ years working in cloud or multi-server complex environments, with extensive experience in Azure
• Ability to simplify complex technical concepts into an easy-to-understand non-technical language
• Experience with Agile development methods in data-oriented projects
• Experience with Dashboarding and Reporting Tools used in the industry (Tableau, Power BI, Qlik, etc.)
• Certifications in architecture, data engineering and development from AZURE (Preferred) / AWS / GCP
• Knowledge of software configuration management environments and tools such as JIRA, Git, Jenkins, TFS, Shell, PowerShell, Bitbucket

Nice-to-haves

• Certifications in architecture, data engineering and development from AZURE (Preferred) / AWS / GCP

Benefits

• Variable compensation in the form of bonus, commissions, or other discretionary payments based on company and/or individual performance