Senior Data Solutions Architect

Data Strategy & Design: Define the target data architecture, pipelines (ETL/ELT), messaging models, and corporate data governance in the cloud (AWS).

Modernization & Decoupling: Lead the migration and transition from legacy middleware platforms toward a cloud-native and open-source data ecosystem, minimizing third-party dependencies.

Real-Time Integration: Design and implement data solutions oriented toward event-driven architectures and real-time streaming to connect core business systems (SAP, POS, eCommerce, CDP, and Data Platforms).

Optimization & Governance: Ensure end-to-end observability, security (IAM, API Security), high availability, cloud cost optimization, and high performance of modern analytical databases.

Technical Leadership: Act as a strategic technical reference for the Data Team, business units, and stakeholders (CIO, vendors), guiding data engineers and developers.

Experience: 8+ years in data architecture, enterprise data platforms, or integration solutions.

Cloud Expertise: Proven experience in AWS Architecture (Serverless, EventBridge, IAM, and managed data services).

Data & Streaming: Advanced mastery in designing Data Pipelines, real-time processing, and messaging (Kafka, RabbitMQ, Event-driven architecture, and Data Streaming).

Modern Data Stack: Practical experience with modern analytical databases and familiarity with open-source data stacks.

Integrations: Strong background in microservices architecture, APIs (REST / GraphQL), and high-throughput/low-latency data flow optimization.