Principal Data Engineer - Technical Lead

• Provide mentorship, coaching, and career development guidance to a team of Data Engineers, fostering a culture of collaboration, innovation, and continuous learning.
• Collaborate with stakeholders to define and execute a long-term vision for Bunge's data platform, ensuring alignment with business objectives and industry best practices.
• Lead the design, development, and implementation of a scalable, secure, and reliable data platform, leveraging cloud technologies and modern data engineering principles.
• Implement and enforce data governance policies and procedures to maintain data accuracy, consistency, and compliance with regulatory requirements.
• Continuously monitor platform performance, identify areas for improvement, and implement optimization strategies to ensure high availability, scalability, and cost-effectiveness.
• Build strong relationships with business stakeholders, data scientists, and other IT teams to understand data needs and ensure the platform meets their requirements.
• Research and evaluate emerging technologies and trends in data engineering and platform development, recommending and implementing innovative solutions to enhance Bunge's data capabilities.
• Influences data strategy and operations across Bunge's global footprint.
• Directly impacts data-driven decision-making across all business units.
• Manages a team of Data Engineers.
• Be recognized as an external thought leader at Data Engineering and Lake-House architecture in Google Cloud.
• Help shape Data Platform roadmap and vision
• Influence the future direction of Bunge's data platform architecture.
• Lead the adoption of cutting-edge data technologies.
• Develop and mentor a high-performing engineering team.
• Ensure an excellence in the Data Platform operation at global scale
• Lead Data Strategy and Data Modeling in the Bunge Data Platform
• Leads technical discussion across other data Engineer to ensure best practices, approaches, and implementation.
• Contributes to talent management plans to support business strategies.

• Bachelor's degree in Computer Science, Information Technology, or related field. Master's degree preferred.
• 7+ years of experience in data engineering, with at least 3 years in a management role.
• Experience building and managing large-scale Data Platforms in a cloud environment.
• Proven ability to lead and develop high-performing engineering teams.
• Excellent communication, interpersonal, and stakeholder management skills.
• Cloud Platforms: GCP (Preferred), AWS or Azure
• Data Engineering Tools: Very strong and hands-on experience in Google Cloud Data Analytics: Big Query, DataStream, DataProc
• Skilled in SQL, Python, and DBT/DataForm
• Experience in complex event-driven data pipeline orchestrations.
• Data Warehousing and Data Lake Technologies: BigQuey (Preferred), Snowflake
• Data Governance and Security: Best practices and implementation in Cloud Environments
• Software Development Lifecycle (SDLC): Agile methodologies
• Experience in IaC in Data using Terraform
• Deep understanding of data mesh concepts and modern Lake-House data Architecture
• Deep understanding of Kappa Architecture and experience in CDC ingestion

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