Activities : Design and implement end-to-end modern data architectures for scalability, performance, and AI-readiness. Define data modeling strategies (conceptual, logical, and physical) across multiple systems and domains. Evaluate, recommend, and implement modern data stack tools (e.g., Snowflake, Databricks, dbt). Build and optimize data pipelines and workflows for ingestion, transformation, and analytics. Define and promote data governance, quality, and security standards. Collaborate with software engineers, AI engineers, and business stakeholders to align data strategies with business goals. Provide technical leadership, documentation, and best practices for scalable data infrastructure. Stay ahead of industry trends in data engineering, AI integration, and cloud-native data platforms. In order to succeed, you'll likely need the following skills Bachelor’s degree in Computer Science, Data Engineering, or related field. 6+ years of experience in data architecture or data engineering roles. Proven expertise with modern data stack technologies such as Snowflake, Databricks, dbt, or equivalent tools. Strong understanding of data modeling, ETL / ELT, and workflow orchestration. Solid knowledge of relational and non-relational databases (e.g., PostgreSQL, MongoDB, BigQuery, Redshift). Experience defining data strategies and architectures for enterprise or AI-driven products. Proficiency with Git and CI / CD practices. Familiarity with data governance, security, and compliance frameworks. Excellent communication skills in English and ability to work directly with clients in a consultative setting. Strong analytical thinking, problem-solving, and documentation skills. Nice to Have : Certifications in Snowflake, Databricks, or dbt. Experience leading data modernization or AI integration initiatives. Knowledge of distributed data systems (e.g., Spark, Kafka, Delta Lake). 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 :
Arquiteto de sistemas
Empresa : Cheesecake labs
Empresa de design e desenvolvimento de aplicativos para web e dispositivos móveis.
Ramo :
Informática / Tecnologia
(CF)
Data Architect • Florianópolis, SC, Brazil