Arquiteto de Dados Sênior As a Senior Data Architect, you will have a strategic role in defining and evolving the enterprise data architecture, with a focus on Data Lake and cloud platforms. You will design and sustain scalable, secure, and governed solutions that support use cases of analytics, BI, big data, and generative AI initiatives. Home Office Responsibilities - Design, implement, and sustain scalable data solutions, focusing on the creation, orchestration, and continuous evolution of the corporate Data Lake. - Design and deploy robust, scalable data architectures (e.g., BigQuery, Dataflow, Composer, Cloud Storage, Dataplex). - Lead the creation, orchestration, monitoring, and support of the corporate Data Lake, ensuring performance, governance, and architectural evolution. - Define and implement governance processes, including quality, metadata, lineage, and information security. - Create and maintain conceptual, logical, and physical models, ensuring consistency and integrity across the entire organization. - Develop the architectural evolution roadmap and conduct proof of concept (POC) studies for new technologies and approaches. - Collaborate closely with data engineers, business analysts, and other stakeholders to ensure solutions meet organizational needs. - Develop clear and accessible documentation on architectural solutions, frameworks, and adopted standards. Requirements - Solid, proven experience as a Data Architect or Senior Data Engineer, actively participating in the design and implementation of data solutions in production. - Practical experience conducting POCs and implementing end‑to‑end data solutions, from architectural design to delivery and monitoring in a productive environment. - Domain knowledge of data‑driven cloud services, preferably in GCP (BigQuery, Dataflow, Composer, Cloud Storage, Dataplex) and/or AWS (S3, Redshift, Glue, EMR, Athena), with the ability to design scalable, cost‑optimized architectures. - Advanced knowledge of data management, metadata, and governance, including quality policymaking, data catalog, lineage, classification of sensitive information, and access controls. - Strong data modeling domain (conceptual, logical, and physical), including relational and dimensional models (star schema, snowflake), applied to analytics, BI, and big data scenarios. - Proficiency in advanced SQL and experience with at least one data‑driven programming language (e.g., Python) applied to pipeline building, transformations, and integrations. - Proven ability to translate business requirements into efficient data engineering solutions, evaluating architecture, performance, security, and cost trade‑offs. - Excellent communication, collaboration, and presentation skills, with ease of interacting with technical and business stakeholders and conducting architectural discussions. - Analytical profile, with strong ability to solve complex problems, systemic vision, and attention to quality and governance details. - Advanced or fluent English, able to attend meetings, read technical documentation, and produce materials in English when needed. - Full degree in Computer Science, Engineering, Information Systems or related areas, or equivalent experience in technology and data. Desirable Requirements - Experience with other cloud platforms (AWS, Databricks). - Experience with BI tools and data visualization (e.g., Power BI, Looker). - Experience in Big Data and Generative Artificial Intelligence. WHAT WE OFFER - Inclusive and humanized professional environment. - Motivated Squad: Work with teams dedicated to achieving challenging goals. - Provider IT Academy: Invest in your growth with continuous training programs. - Coaching Program for new employees, providing smooth adaptation and support from the start. We celebrate diversity, equity, and inclusivity. At Provider IT everyone is welcome, regardless of their condition, disability, ethnicity, religious belief, sexual orientation, physical trait, age, or the like. Our commitment is to provide fair and unbiased opportunities. #J-18808-Ljbffr