Arquiteto de Dados e integração

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Data and Integration Architect (Arquiteto de Dados e Integração) based in Brazil. In this remote role, you will design and implement scalable data architectures, integration frameworks, and automated pipelines that support modern data-driven solutions. You will work with technologies such as Google BigQuery, Cloud Storage, dbt, and Prefect to build reliable data ingestion and transformation processes. Your responsibilities will also include establishing DevOps and DevSecOps practices, strengthening data governance, and ensuring security across the data ecosystem. You will help integrate artificial intelligence and machine learning capabilities into the platform while resolving complex technical challenges and improving performance. Collaborating with product owners and multidisciplinary teams, you will contribute to agile planning, technical decision-making, and continuous delivery. This opportunity is ideal for a technically strong professional who enjoys architectural challenges, knowledge sharing, and developing innovative, secure, and efficient data solutions.

Define and implement architectural standards for data pipelines, data modeling, and software integration, supporting both new and legacy systems. Design, develop, maintain, and optimize data ingestion and transformation pipelines using Google BigQuery, Google Cloud Storage, dbt, and Prefect. Establish and promote DevOps and DevSecOps practices, including continuous integration and delivery (CI/CD), source control, code reviews, and secure secrets management. Implement data governance and security controls using technologies and practices such as Identity and Access Management (IAM), Policy Tags, Dataplex, and metadata management. Ensure data quality, consistency, security, and traceability throughout the data lifecycle. Diagnose and resolve complex technical issues, pipeline failures, performance bottlenecks, and technical debt, implementing sustainable improvements. Collaborate with product owners and development teams to plan sprints, prioritize deliverables, manage dependencies, and align technical execution with business objectives. Prototype, evaluate, and integrate artificial intelligence and machine learning solutions into the data platform to expand its capabilities and improve operational efficiency. Provide technical mentorship to less experienced professionals, sharing architectural knowledge, coding standards, and engineering best practices. Promote continuous improvement across data architecture, integration processes, automation, governance, and platform reliability. Requirements: Education: Completed bachelor's degree in Technology or a related field. Postgraduate qualification or certifications: A postgraduate degree is required; alternatively, candidates must hold six valid certifications. ITIL qualification: ITIL Foundation certification or documented training in ITIL Foundation version 3 or higher. Professional experience: Demonstrable professional experience in data architecture, data engineering, data integration, or a closely related area. Advanced SQL: Strong command of SQL, including query optimization, performance tuning, and efficient data processing. Python: Practical experience developing scripts and data processing solutions using Python. Google BigQuery: Experience designing, implementing, and optimizing data solutions using Google BigQuery. dbt: Hands-on experience with dbt for data transformation, modeling, and managing data workflows. Version control and CI/CD: Experience with Git or GitHub and the implementation or maintenance of CI/CD pipelines. Data modeling: Solid knowledge of data modeling principles and the ability to design reliable, scalable data structures. Data architecture and integration: Ability to establish architectural standards, develop integration strategies, and maintain data pipelines across new and legacy environments. Security and governance: Understanding of DevOps and DevSecOps practices, access controls, metadata management, secrets management, and data governance principles. Problem-solving: Strong analytical skills and the ability to investigate technical failures, resolve performance issues, and reduce technical debt. Collaboration and leadership: Effective communication, teamwork, and technical mentoring skills, with the ability to collaborate with product owners and multidisciplinary teams in an agile environment. Preferred qualifications: Experience with Change Data Capture (CDC) and real-time or streaming data processing. Familiarity with Debezium, Apache Kafka, or Redpanda. Knowledge of Infisical or similar secrets management solutions. Experience integrating artificial intelligence and machine learning capabilities into data platforms. Benefits: Work arrangement: Remote work opportunity based in Brazil. Employment type: Full-time employee position. Professional development: Opportunity to work with modern data architecture, cloud technologies, automation, and data integration solutions. Technical innovation: Exposure to Google Cloud technologies, DevOps and DevSecOps practices, and AI/ML integration initiatives. Knowledge sharing: Opportunities to mentor colleagues, collaborate with technical specialists, and contribute to architectural standards and engineering best practices. Inclusive workplace: The opportunity is open to professionals with disabilities, with a commitment to gender, racial, and ethnic equity. Compensation: Salary details and additional benefits were not specified in the original job description.