Principal Data Engineer - Technical Lead Overview
Bunge has an exciting opportunity available for a Principal Data Engineer - Technical Lead. In this role you will be part of a global team working on challenging, meaningful projects impacting core business activities.
The Principal Data Engineer - Technical Lead is a critical leadership role within Bunge's Global IT organization. You will lead and inspire a team of talented data engineers responsible for building and maintaining Bunge's next-generation Data Platform. This platform will empower data-driven decision-making across the company, fueling innovation and operational efficiency in areas such as supply chain optimization, risk management, and market analysis. This role requires a strategic thinker with strong technical expertise and a passion for building high-performing teams. You will navigate the challenges of a complex global environment while capitalizing on opportunities to leverage cutting‑edge technologies to transform Bunge's data landscape. On this role you will be also a hands‑on technical person and a leader of a team of data engineers.
Essential Functions
* 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.
Qualifications
* 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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