Lead Data Engineer

About the role

About the department

Your Responsibilities

• Technical Leadership
• Architect and implement scalable, distributed data platforms supporting both batch and real-time processing
• Define and enforce engineering standards, best practices, and architectural principles
• Evaluate and introduce new technologies to improve performance, reliability, and cost efficiency
• Data Pipeline & Platform Ownership
• Lead the design, development, testing, and maintenance of automated data pipelines for ingestion, transformation, and curation
• Ensure high availability, observability, and performance across the data stack
• Drive adoption of metadata-driven and declarative pipeline approaches
• Team Leadership & Mentorship
• Coach and develop engineers across all levels
• Foster a culture of technical excellence, accountability, and continuous improvement
• Provide architectural guidance and hands-on support for complex initiatives
• Data Governance & Quality
• Establish frameworks for data validation, security, privacy, and compliance (including GDPR)
• Ensure data integrity, consistency, and reliability across platforms
• Define standards for data ownership, lineage, and lifecycle management
• Documentation & Standards
• Maintain clear documentation of data models, definitions, and architecture
• Promote transparency, maintainability, and operational continuity
• Stakeholder Collaboration
• Act as a trusted advisor to business leaders and product teams
• Translate business objectives into scalable technical solutions
• Communicate complex concepts to both technical and non-technical audiences
• You bring
• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Analytics, Statistics, or a related field
• 10+ years of data engineering experience, including leadership responsibilities
• Proven track record of delivering enterprise-scale data platforms
• Strong engagement with business stakeholders and cross-functional teams
• Certification in a leading data platform (e.g., SnowPro) is a plus
• Ability to translate business needs into scalable data solutions and communicate effectively with senior stakeholders
• Strong focus on data accuracy, governance, and maintaining reliable, well documented data assets
• Techinical Skills
• Expertise in modern data architecture, including hybrid, multi engine environments across Snowflake and Microsoft Fabric, with strong understanding of lakehouse and warehouse paradigms
• Deep experience with the Snowflake platform, including Snowpark, Dynamic Tables, and Cortex AI, with focus on performance tuning and cost optimization
• Hands on experience with Microsoft Fabric and Azure analytics, including Synapse, Data Factory Gen2, and Fabric Lakehouse and Warehouse
• Strong experience in orchestration and integration, using tools such as Matillion and Azure Data Factory to build scalable, metadata driven workflows
• Experience in data governance and security, ensuring consistent, secure, and reliable data across platforms
• Exposure to AI ready data platforms, including RAG pipelines and vector enabled architectures
• Proven ability in performance and cost optimization, managing compute usage and improving overall platform efficiency
• Experience with DevOps and DataOps, including CI and CD practices and tools such as dbt
• As an equal opportunity employer, Fuller Technologies embraces diversity and equality by promoting an environment of inclusion. We encourage applicants of all backgrounds to apply irrespective of sex, gender identity/expression, disability, sexual orientation, or age. The more diverse our employees are, the stronger our team is.
• Application and contact
• Please apply by clicking “apply” on this page. Kindly note that we will be reviewing applications and conducting interviews - also on a virtual setting as required - on an ongoing basis so please apply as soon as possible.
• No recruiters and unsolicited agency referrals, please.
• Build a better world
• Fuller Technologies helps build societies all over the world by contributing to the infrastructure needed for global economic growth. It is a big responsibility, and we are committed to driving growth while minimising environmental impact. To achieve this, your skills, your curiosity, and your drive for change are important. Together in our diverse team, we collaborate in an inclusive and supportive environment to discover further ways to economic and environmental success.
• For further information on Fuller Technologies' business and services, visit https://www.fuller-technologies.com/

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Analytics, Statistics, or a related field
• Experience with DevOps and DataOps, including CI and CD practices and tools such as dbt