Cloud Data Architect Position

Há 14 horas


Ituiutaba, Brasil Bebeedata Tempo inteiro

Senior Cloud Data Engineer OpportunityThe Senior Cloud Data Engineer is responsible for leading the design, architecture, and implementation of secure and scalable data solutions on AWS using Snowflake, DBT, and modern automation tools.Design and develop highly scalable, secure, and resilient data pipelines and systems on cloud platforms.Architect and implement advanced data integration solutions to support complex analytics, business intelligence, and enterprise reporting needs.Collaborate with cross-functional teams to understand and deliver on evolving data requirements.Ensure the highest standards of data quality, integrity, and security through comprehensive testing, validation, and robust governance practices.Monitor, optimize, and scale data workflows to achieve performance, reliability, and cost-efficiency targets across both cloud and legacy environments.Key Responsibilities:Lead the design, development, and maintenance of highly scalable, secure, and resilient data pipelines and systems on cloud platforms.Architect and implement advanced data integration solutions to support complex analytics, business intelligence, and enterprise reporting needs.Collaborate with cross-functional teams to understand and deliver on evolving data requirements.Ensure the highest standards of data quality, integrity, and security through comprehensive testing, validation, and robust governance practices.Monitor, optimize, and scale data workflows to achieve performance, reliability, and cost-efficiency targets across both cloud and legacy environments.Requirements:Minimum of 7 years of progressive experience in data engineering with a strong emphasis on designing and implementing cloud-based solutions.Advanced proficiency in SQL with hands-on experience in both relational and NoSQL databases.Extensive experience architecting and operating data platforms on AWS and Azure, relevant cloud certifications strongly preferred.Deep knowledge of data warehousing concepts, ETL/ELT processes, data modeling, and enterprise data governance frameworks.Demonstrated success in leading and mentoring data engineering teams, driving technical excellence, and fostering collaborative environments.Exceptional problem-solving skills, attention to detail, and the ability to work independently and proactively in fast-paced settings.Benefits:Career development plan and continuous learning.Excellent work environment and flexibility.Meal allowance.Life insurance.Health insurance.Transportation allowance.What We Offer:Opportunity to work with a dynamic team.Chance to grow professionally and personally.Competitive compensation package.Comprehensive benefits package.



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