Lead Data Engineer

Job Summary

Lead Data Engineer

People behind the solutions

At Fuller Technologies we know that building a strong team starts with creating opportunities for growth. For over a century, we ve supported the people behind the solutions, fostering a culture where hard work is valued, learning is encouraged, and teamwork drives success.

Here, you ll find the tools and support to develop your skills and take your career further. Join us and become part of a company that values your contributions and is committed to helping you succeed-every step of the way.

About the role

We are seeking an experienced Lead Data Engineer to own and evolve our enterprise data platform, architecting and scaling a modern ecosystem for analytics and data-driven products. This hands-on leadership role goes beyond pipelines, partnering with business and technology leaders to translate complex needs into robust, high-performance solutions. You will ensure exceptional reliability (99.9%+) while continuously advancing our DataOps capabilities

About the department

In IT at Fuller Technologies, you help keep a global business running with clarity, reliability, and speed. The team works on the systems and tools that connect our operations, support our teams, and make everyday work simpler for colleagues across the company. Our contribution ensures that information flows the way it should - secure, accessible, accurate, and ready when people need it.

As part of the IT and Digital function, the Data and Analytics team plays a critical role in transforming data into meaningful insights that guide decision-making across regions and functions. We collaborate closely with business, finance, operations, and leadership teams to solve challenges, improve processes, and implement scalable analytics solutions that move the organization forward.

Working in a culture built on trust, openness, and steady improvement, you will shape reporting platforms, enhance data visibility, and deliver solutions that colleagues rely on every day - all while continuously developing your expertise in a global and technology-driven environment.

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

Technical 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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.