About the job
As the Solutions Architect for our Relationship Engine, your key role will be to design a solution capable of orchestrating large volumes of transactional data to support our banking-level CRM strategy. The central goal is the implementation and success of our Customer Data Platform (CDP), transforming raw data into personalized customer journeys in real time.
Main Responsibilities:
- Architecture of the Relationship Engine: Design a scalable technical structure that allows for the consumption and reaction to transactional events with low latency.
- CDP Orchestration and Strategy: Orchestrate an architecture for data ingestion, unification, and activation, ensuring a Single Customer View across the ecosystem.
- Transactional & NoSQL Modeling: Structure communication with NoSQL databases (focusing on MongoDB), ensuring that the data flow to the engine is resilient, performant, and consistent.
- Transactional vs. Analytical Integration: Design connectors and processing logic that merge transactional (operational) data with analytical insights, enabling immediate intelligence in the relationship engine.
- High-Scale Performance: Ensure that the engine supports peaks of simultaneous events, guaranteeing that offers or communications reach customers without delays or integrity issues.
Technical Requirements (Hard Skills)
- Databases: Proficiency in NoSQL databases (MongoDB) and experience with analytical databases. Familiarity with document modeling, aggregation, and performance tuning.
- CRM Ecosystem & Salesforce: In-depth knowledge of relationship flows and decision engines. Relevant advantage: Experience with Salesforce Data Cloud.
- Orchestration and Event-Driven: Solid experience with event-driven architectures and messaging (Kafka, RabbitMQ, Pub/Sub) and complex integration flows (ETL/ELT/ETLT).
- APIs and Microservices: Knowledge in service decomposition, responsibility segregation, context delimitation, and designing integration contracts that efficiently connect transactional and analytical layers.
- Cloud & Infrastructure: Familiarity with cloud environments to support high-availability architectures.
About ciandt
ciandt is at the forefront of technological innovation, dedicated to merging human expertise with artificial intelligence to create powerful tech solutions that drive business transformation.
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