Additional architectural capacity for the BRS Core team needed, in order to sufficiently

support new use cases in the analysis phase and ongoing use cases in the implementation

phase.

We need additional capacity for both Solution and System Architect, with the

following knowledge:

● Large-scale Data processing technologies such as Apache Spark, Hadoop Stack or

similar

● Stream processing technologies such as Spark Structured Streaming (must have),

Kafka (must have), Apache Flink, Apache Storm or similar

● DWH solutions on NoSQL and relational databases

● Networking in a cloud infrastructure

The architect ideally has experience on the following Azure data stack:

● Spark/Databricks, ADLS Gen2/Blob, EventHub/Kafka, ADE, SQL, Azure

Synapse/SQL DWH, Azure functions.

The architect will be responsible for:

● Supporting use cases in the analysis phase of the project with defining the target

architecture of that use case on the BRS Platform incl. interface definition to source

systems based on business requirements

● Supporting use cases with guidance on BRS architecture, development and

deployment standards during the implementation phase

● Driving architectural decisions, rules and guidelines for the BRS platform

● Defining technical implementation details and acceptance criteria for user stories