Senior Cloud Solution Architect / DevOps Engineer
About this role
About the Company
Avaron helps you find assignments that match your skills and ambitions. As a permanently employed consultant with us, you get competitive terms – combined with the variety and growth that a consulting career offers.
About the Assignment
About Avaron AB
Avaron helps you find assignments that match your skills and ambitions. As a permanently employed consultant with us, you get competitive terms – combined with the variety and growth that a consulting career offers. About the Assignment You will join a banking environment where cloud, data, and AI are central to the next generation of customer engagement solutions. The assignment sits close to business value creation and focuses on turning new opportunities into scalable technical solutions. There are two openings within the same initiative. One track is aimed at a Cloud DevOps Engineer with a strong focus on Snowflake, AWS, and modern data platforms. The other is aimed at a Cloud Solution Architect who can design and set up solutions within Generative AI and Machine Learning to support business cases in Customer Engagement. This is a great opportunity if you want to work with modern cloud and data technologies in a business-critical domain with clear impact. Job DescriptionYou will help develop cloud, data, and AI capabilities that support customer engagement initiatives. Depending on your profile, you will either drive the DevOps and data engineering track or lead the solution architecture track. You will work hands-on with Snowflake and AWS in a modern cloud environment. You will use dbt and Airflow to support data flows, orchestration, and scalable data solutions. You will work with data modelling and Data Warehouse (DWH) solutions to enable reliable and structured data usage. You will design and set up solutions that translate business cases into practical technical implementations. If your profile is closer to architecture, you will contribute to solutions within Generative AI and Machine Learning. RequirementsStrong experience with AWS Strong experience with Snowflake Experience with dbt Experience with Airflow Experience with data modelling Experience with Data Warehouse (DWH) solutions Professional fluency in English Nice to haveExperience