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
- Senior Big Data Hadoop ML Engineer (GCP)
- Senior Machine Learning Engineer (Inference)
- Principal Machine Learning Engineer (Inference)
- Data Engineering Lead ( Engineering Manager - Data)
- Sr Big Data Engineer (GCP)- Airflow and Oozie
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
Data Architect
As a Data Arcitectfor 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.
₹0 - ₹0 a year
Key Requirements:
8+ 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 4 full lifecycle data platform deployments on Azure using first party services for Data and Analytics.
Extensive experience with following technologies: Azure Data Factory, Azure Synapse Analytics, Azure Databricks,
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.
6+ 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
4+ 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. 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
Ability to deal with ambiguity by making the appropriate decisions considering the relative costs and benefits of potential actions.
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 is preferred
Knowledge of software configuration management environments and tools such as JIRA, Git, Jenkins, TFS, Shell, PowerShell, Bitbucket.