Define and evolve the platform's data architecture, ensuring scalability, performance, security, and governance.
Design Big Data solutions for ingestion, processing, and storage of large volumes of structured and unstructured data.
Develop architectures to integrate multiple information sources, including geospatial, climate, production, financial, and cadastral data.
Define standards, frameworks, and best practices for analytical processing and data provisioning.
Contribute to building Data Lakes, Data Warehouses, and modern cloud-based architectures.
Support Analytics, Machine Learning, and Artificial Intelligence initiatives focused on agricultural credit and risk assessment.
Ensure data quality, traceability, security, and governance.
Work collaboratively with business teams, data engineering, data science, and software development teams.
Lead architectural decisions considering performance, availability, and scalability requirements.

Strong experience as a Big Data Architect or Data Architect in large-scale projects.
Advanced knowledge of Data Lake, Data Warehouse, and Data Mesh architectures.
Experience with Big Data ecosystems (Spark, Hadoop, Databricks, or similar).
Experience with cloud platforms (AWS, Azure, or Google Cloud Platform).
Experience in data modeling, integration, and processing of large volumes of information.
Knowledge of batch and streaming data pipelines.
Experience with data governance, quality, and security.
Knowledge of relational databases and NoSQL stores.
Ability to translate business needs into scalable architectural solutions.

Big Data Architect – Senior

Key skills