Act as the technical reference for Data Architecture
Serve as the focal point for architectural decisions in high-complexity, cross-cutting strategic initiatives
Ensure alignment between business strategy and technical execution
Design reference architectures and guidance for corporate use, aligned with IT strategy and industry best practices, considering:
Functional and non-functional requirements
Internal and external data integrations
Security, scalability, performance, resilience, cost, and observability
Address vendor-agnostic and interoperable solutions across major cloud providers (Azure, AWS, GCP, and Oracle)
Improve internal data architecture processes, lead technology initiatives, facilitate discussions across IT disciplines, and influence technical decisions
Ensure reuse, rationalization, and best practices for a highly complex environment

Experience designing and developing distributed, highly scalable solutions
Knowledge of building blocks, componentization, and decoupling
Experience with microservices patterns, event-driven architectures, messaging, APIs, and integrations
Knowledge of cloud-focused technologies and architectures
Experience with real-time processing and unstructured data
Knowledge of data stores and structures (relational databases, NoSQL, big data)
Familiarity with containers, Kubernetes, and Airflow

Behavioral Competencies:

Clear, structured, and assertive communication
Long-term vision
Autonomy, critical thinking, and technical responsibility
Collaboration with multidisciplinary teams
Comfort working in complex, continuously transforming, and highly ambiguous environments

Preferred knowledge and experience:

Senior Data Architect

Key skills