Senior Cloud Data Solutions Architect @ Avenga
1 month ago
Unlock your potential as a Senior Cloud Data Solutions Architect at Avenga and shape the future of cloud data and AI solutions.
About the RoleWe are seeking an experienced Senior Cloud Data Solutions Architect to join our team in developing cutting-edge cloud data and AI solutions. As a key member of our team, you will be responsible for designing and implementing data pipelines that ingest data from various sources, delivering analytical solutions with data scientists and analysts, and developing scalable data architectures on the MS Azure platform.
As a Senior Cloud Data Solutions Architect, you will have the opportunity to work with experienced data engineers, data scientists, and domain experts to deliver proof-of-concept solutions and experiment with different technologies. You will also be able to implement solutions that create real value for the company and have an impact on the industry.
What We Offer- A deep understanding of the domain knowledge in the field of molecular biology
- Exposure and hands-on experience in developing cloud data and AI solutions
- The ability to deliver proof-of-concept solutions and the chance to experiment with different technologies
- The opportunity to work with experienced data engineers, data scientists, and domain experts
In addition to these benefits, you will also receive:
- A competitive salary range of $120,000 - $180,000 per year
- A comprehensive benefits package, including sport subscription, training budget, international projects, private healthcare, flat structure, integration events, friendly atmosphere, cafeteria system, multisport card, insurance, free coffee, gym, bike parking, and free beverages
- A modern office with no dress code
To be successful as a Senior Cloud Data Solutions Architect at Avenga, you should have:
- Deep knowledge of data engineering principles and working experience in developing advanced analytics data pipelines
- Knowledge of SQL and excellent coding skills in Python or Scala
- Experience working with big data technologies, including Hadoop, Hive, and Spark
- Understanding of data modeling, data security best practices, and data provisioning concepts
- A BS/MS degree in Computer Science or a related field
You should also have experience with the following technologies:
- Azure Databricks
- Unity Catalog
- Azure Data Factory
- IoT Hub
- Azure DevOps
- Azure Storage
- Azure Stream Analytics
- Github
- Azure Key Vault
- Azure Functions
- SQL Server
- Azure Cybersecurity and Networking configurations
Nice-to-have technologies include:
- Azure Machine Learning
- Azure AI Foundry
- PowerBI
- Cosmos DB
- Purview
- EntraID
- MS Fabric
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