R&D Data Platform Lead

Qcells is seeking an R&D Data Platform Lead to architect, build, and scale the R&D data platform across global sites and systems. The role connects R&D environments — equipment, lab systems, process data, experiments, and documents — into a trusted, scalable data foundation that supports analytics, reporting, and AI capabilities.

You will work closely with global R&D teams, Digital Transformation, Information Security, IT, and external partners to define strategy and deliver reliable platform infrastructure.

Responsibilities

• Lead technical architecture, roadmap, and implementation priorities for the R&D data platform.
• Design and build scalable data pipelines across equipment, process, lab, material, and document data sources.
• Translate R&D and business requirements into reusable data models, integration patterns, and platform components.
• Evaluate and recommend cloud platforms, databases, ETL/ELT tools, and analytics environments.
• Ensure platform supports data quality, lineage, metadata, access control, and governance requirements.
• Establish AI-ready data foundations to enable search, analytics, and ML use cases over R&D data.
• Align platform strategy with R&D, DT, IT, security, and regional site stakeholders.
• Partner with external consultants and HQ technical teams for proof-of-concept and scale-up.
• Own platform documentation, monitoring, and long-term maintainability beyond individual vendor engagements.

Required Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 6+ years of experience in data engineering, data architecture, or cloud data platform development, including demonstrated ownership of a platform initiative from design through delivery.
• Hands‑on experience designing data pipelines, ETL/ELT processes, and data models.
• Strong knowledge of SQL, APIs, data modeling, and modern data platform architecture.
• Experience working across technical and business stakeholders in a matrix organization.
• Strong communication and problem‑solving skills; able to translate between technical and business needs.

Preferred Qualifications

• Experience in R&D, manufacturing, solar, semiconductor, materials science, or industrial automation environments.
• Familiarity with Azure, Databricks, Microsoft Fabric, Snowflake, or similar platforms.
• Experience with equipment data, MES, lab systems, or experimental/reliability data.
• Exposure to AI/ML, advanced analytics, or digital transformation programs.

Ready to Shape the Future of Solar Energy?

Take this opportunity to advance the future of solar power with Qcells. If you’re passionate about solar technology and eager to pioneer technological breakthroughs, we want to hear from you.

Qcells is an equal‑opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.