Rackspace
San Antonio, TX
5,001-10,000 employees
Unlock the leading technologies to grow new revenue streams, increase efficiency, and build the future.
Other Open Roles
- Data Architect
- Senior Big Data Hadoop ML Engineer (GCP)
- Senior Machine Learning Engineer (Inference)
- Principal Machine Learning Engineer (Inference)
- Data Engineering Lead ( Engineering Manager - Data)
Prior Listings
- Big Data Engineer
- Data Scientist
- Data Architect - Tableau
- Data Science Architect
- Big Data Engineer
- Data Engineer, Azure
- Tableau Data Architect
- Data Engineer
- Data Engineer - Tableau
- Practice Manager - Data Science & Engineering
- Senior Data Scientist - CAN
- Data Engineer III
- Data Engineer - IN (GCP)
- Cloud Data Engineer
- DATA SCIENCE - TRAINEE
- Business Operations Analyst III
- Sr. Data Engineer
- Cloud Data Engineer
- Big Data Engineer (AWS)
- Data Engineer III 8272
Data Architect (Azure)
Data Architect (Azure)
Data Architect - Azure
As a Data Architect for Data, you are passionate about data and technology solutions and are driven to learn about them and keep up with market evolution. You will play an active role in delivering modern data solutions for clients including data ingestion/data pipeline design and implementation, data warehouse & data lake architectures, cognitive computing and cloud services. You are enthusiastic about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development.
In this role you will be helping to grow the Rackspace data practice in Southeast Asia. You will be the expert in the region and support the delivery of our data projects on Azure. As the local expert you’ll be involved in presenting to customers at events and promoting our capabilities to Azure. With a large Azure data team of over 150 people in the region it is also an opportunity to mentor and shape the data practice during our growth phase.
More generally, Data Architect are the cornerstone of our delivery success, overseeing our most strategic accounts. They are empowered to make key delivery decisions and work closely with technical resources as well as our Engagement/Project Managers to ensure our customers experience successful outcomes.
The Data Architect needs to understand client's business and technology requirements within their domain, identify gaps, areas of opportunity, and design future state improvements and lead the team of data engineers and data analysts to deliver these with high quality and customer satisfaction.
Key Requirements:
5+ 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 2 full lifecycle data platform deployments on Azure using first party services for Data and Analytics.
Extensive experience of Azure foundation and cloud engineering concepts including network, security, cost estimation, common IaaS and PaaS services and monitoring.
Strong Spark, SQL, Data Modeling, Data lakehouse concepts.
Programming / scripting experience using python and scala.
5+ years' experience architecting solutions for optimal extraction, transformation and loading of data from a wide variety of traditional and non-traditional sources such as structured, unstructured, and semi-structured using SQL, NoSQL and data pipelines for real-time, streaming, batch and on-demand workloads
3+ years' experience with analytics/data management strategy formulation, architectural blueprinting and effort estimation of analytics
3+ years working in cloud or multi-server complex environments. Extensive experience with Azure is required.
Ability to simplify complex technical concepts into an easy-to-understand non-technical language to facilitate, communicate and interact with executives and business stakeholders
Data Specialization:
Lead, define and implement end-to-end modern data platforms on public cloud using 1st party services in support of analytics and AI use cases
Collaborate with enterprise architects, data architects, ETL developers & engineers, data scientists, and information designers to lead 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 modeling, data virtualization, self-service data preparation & analytics, AI enablement, and API integrations
Be the technical liaison between customers and engineering teams
Be a big data evangelist by educating a variety of customers on the value of cloud and data services
General Consultancy:
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