Senior Arquiteto(a) de Dados

Accountabilities:

• • Design and evolve modern data architectures with a focus on scalability, performance, security, quality, governance, and cost efficiency.
  • Translate complex business requirements into sustainable, scalable, and technically viable data solutions.
  • Define architectural standards and patterns for data storage, processing, integration, and consumption.
  • Evaluate technologies, platforms, and architectural approaches according to the specific requirements of each solution.
  • Partner closely with Data Engineering, Development, Product, and Architecture teams to ensure solutions align with established architectural principles.
  • Identify and resolve challenges related to data integration, quality, availability, governance, and lifecycle management.
  • Oversee the data lifecycle from ingestion and processing through consumption, retention, and disposal.
  • Establish and promote best practices for data architecture, governance, security, and operational excellence.
  • Support initiatives involving AI and automation to increase productivity and efficiency in the development of data solutions.
  • Contribute to technical decision-making, balancing quality, complexity, delivery timelines, scalability, and cost.
  • Provide architectural guidance and communicate technical decisions clearly to both technical and business stakeholders.
  • Help drive continuous modernization of data platforms and solutions using current cloud, data, and AI technologies.

  Requirements:

  • Solid professional experience in Data Architecture, including modern Data Lake, Data Warehouse, and Lakehouse architectures.
  • Strong knowledge of conceptual, logical, and physical data modeling.
  • Hands-on experience with ETL/ELT, data pipelines, APIs, event-driven architectures, and messaging systems.
  • Experience designing and implementing cloud-based data architectures, particularly using AWS and/or Azure.
  • Knowledge of Databricks, Apache Spark, or equivalent data processing technologies.
  • Experience working with both relational and NoSQL databases.
  • Strong understanding of Data Governance, Data Quality, Data Catalog, Metadata, Data Lineage, and Data Ownership.
  • Knowledge of data security and privacy principles, including access control, encryption, and appropriate protection mechanisms.
  • Experience addressing data performance, scalability, availability, and observability requirements.
  • Knowledge of CI/CD and automation practices applied to data solutions.
  • Strong systems-thinking and architectural reasoning skills, with the ability to transform complex problems into clear and actionable solutions.
  • Excellent communication and stakeholder-management skills, with the ability to work effectively across technical and business teams.
  • High degree of autonomy, ownership, pragmatism, and influence when making architectural decisions.
  • Ability to balance technical excellence with business priorities, delivery constraints, cost, and long-term sustainability.
  • Experience with global transformation, cloud modernization, Data, or AI initiatives is an advantage.

  Benefits:

  • Comprehensive health and dental insurance.
  • Meal and food allowances.
  • Childcare assistance.
  • Extended parental leave.
  • Partnerships with fitness, wellness, and healthcare professionals through Wellhub and TotalPass.
  • Profit-sharing program (PLR).
  • Life insurance.
  • Continuous learning opportunities through a dedicated corporate learning platform.
  • Discounts through partner programs.
  • Free online resources focused on physical health, mental health, and overall well-being.
  • Pregnancy and responsible-parenting support programs.
  • Partnerships with online learning platforms.
  • Language-learning platform.
  • Inclusive environment with dedicated health, well-being, and inclusion support.
  • Opportunities to work on global data transformation and modernization projects involving Cloud, Data, and AI.
  • Collaborative environment focused on innovation, professional development, and continuous learning.