Staff Data Engineer

Activities: Lead the end-to-end architecture of modern data pipelines, from ingestion to transformation to analytics and AI-readiness. Engage with clients to understand current data maturity, pain points, and modernization opportunities. Design scalable architectures aligned with Modern Data Stack (e.g., Snowflake, Databricks, BigQuery, DBT, Airflow, Spark). Define data models, data contracts, and governance best practices. Provide technical guidance to data engineers and software engineers during implementation. Collaborate with AI engineers to prepare datasets and pipelines for downstream GenAI and ML use cases. Advocate for quality, security, observability, and cost-efficient data architecture. In order to succeed, you'll likely need the following skills English proficiency 5–8 years in Data Engineering / Data Architecture roles. Strong experience designing data pipelines (batch and/or streaming). Solid experience with at least one cloud ecosystem (AWS, GCP or Azure). Experience with: Snowflake, Databricks, BigQuery or similar DBT Airflow / Prefect / Dagster Apache Spark (nice-to-have) Ability to design and communicate architecture diagrams, data flows, and extensible patterns. Strong client-facing communication: capable of leading discovery sessions and defending technical decisions. Experience working with cross-functional product teams (backend, frontend, QA, AI). Solid understanding of data quality, lineage, observability, governance, and cost optimization. Applicants must live in Brazil and have a Brazilian bank account, be legally allowed to provide services to a Brazilian entity and willingness to receive in Brazilian local currency (Real R$) Nice to Have: Hands-on ML or AI integration experience. Experience in consulting or service companies. Experience in multi-tenant or high-compliance environments. IMPORTANT TIP -> The communication during the selection process is done by email. We suggest that you keep an eye on your email inboxes and set the permission to receive messages from cheesecakelabs.hire.trakstar.com so our messages will not be directed to the spam box ;) Interested in the position but not sure if you should apply? We know that many people especially women, black individuals, people with disabilities, and other underrepresented groups often hesitate to apply for a job unless they meet every single requirement. We've seen this firsthand at Cheesecake Labs, with amazing candidates who underestimated their own skills. We value diverse backgrounds and are committed to providing equal opportunities for all, regardless of race, ethnicity, gender, gender identity, sexual orientation, disability, age, religion, or any other characteristic that makes you who you are. If you have a disability or special need that requires accommodation, please let us know at careerscheesecakelabs.com. The collected personal data will be used only to manage and control candidate resumes in order to assess the necessary requirements such as the contact information, and also to conduct this selection process. The collected data will not be shared with others (third parties) without your authorization, and their use will be restricted to Cheesecake Labs internal staff, and also to the service providers that process your data for the selection process. At any time, you can contact us and we will remove your data from our data collection system. In order to do that, just simply send an email to careerscheesecakelabs.com. Formação Acadêmica: Não informado Salário: A combinar Cargo: Engenheiro de sistemas (software) Empresa: Cheesecake labs Empresa de design e desenvolvimento de aplicativos para web e dispositivos móveis. Ramo: Informática/ Tecnologia (EF)