Materials Informatics Platform Architect 1900S-4

Materials Informatics Platform Architect                                                      1900S-4

Team up with the most innovative company where Imagination becomes reality! E Ink is the originator, pioneer, and commercial leader in ePaper technology. The Billerica Research & Development team is thriving and growing as we help develop products that are changing how people access information every day. We are seeking qualified candidates who are self-driven, looking to advance their career and become a high-impact player on a team.

Based on technology from MIT’s Media Lab, E Ink has transformed and defined the eReader market. Its Electrophoretic Display products make it the worldwide leader for ePaper. The Company’s corporate philosophy aims to deliver revolutionary products, user experiences and environmental benefits through advanced technology development.

Our diversity of people, backgrounds, experiences, thoughts and perspectives is fostered to create an inclusive work environment. Our culture is built on value commitments to innovation, quality, results, integrity, community, people, and collaboration that fosters a strong employee engagement, teamwork, safety and wellness.

We offer a competitive/generous benefits package that fits the needs of our employees. It includes health, dental, vision, wellness programs, employee discounts, 401k matches, ongoing development, advancement opportunities and more. This position is also eligible for our bonus program. (see E Ink │ Our Company)

About the position:

E Ink provides the exciting and enabling “electronic paper” display technology used by eReaders throughout the world to provide a low-power, paper-like display.

We are seeking an experienced and visionary Materials Informatics Platform Architect to lead the development of our next-generation data platform supporting materials research, formulation, and manufacturing. This is a foundational role that will drive the architecture and long-term strategy of a unified data lake and feature store that integrates research, development, simulation, and production data to enable machine learning and advanced analytics across our R&D and operations.

You will partner closely with materials scientists, data scientists, ML engineers, and product stakeholders to unify siloed datasets, define robust data schemas, enforce data quality and governance, and ensure that derived features are traceable, reusable, and production-grade.

Key Responsibilities:

• Design and own the FPL Materials Data Lake: Define and implement a scalable and extensible data architecture that integrates lab, simulation, and factory data across time, scale, and systems
• Identify business requirements and create designs: Work with stakeholders to understand the needs of materials scientists, researchers, and engineers, translating those needs into functional and technical specifications for the platform
• Data Lineage & Quality: Implement robust lineage tracking and data validation pipelines to ensure transparency, reproducibility, and trustworthiness of datasets
• Feature Store Engineering: Build and manage a centralized feature store optimized for training, testing, and deploying ML models for R&D and factory optimization use cases
• Tooling & Automation: Collaborate with platform engineers to build self-serve tooling for ingestion, transformation, and feature computation that empower all users
• Evaluate and select technologies and products: Stay up-to-date with emerging technologies and industry best practices in materials informatics, making informed decisions on the tools and technologies to incorporate into the platform

Qualifications:

• A Ph.D, or Master's degree in Materials Science & Engineering, Materials Physics, Computer Science, or a related field focusing on high-performance computing and data-driven research
• 5+ years of experience in data platform or data architecture roles, ideally within scientific computing, manufacturing, or life sciences
• Expertise in modern data lakehouse technologies (e.g., Delta Lake, Iceberg, Parquet, Apache Arrow)
• Strong fluency with Python, SQL, and distributed data processing (e.g., Spark, dbt, Prefect/Airflow)
• Experience designing data models for complex, heterogeneous scientific data
• Familiarity with feature engineering and ML pipelines
• Demonstrated ability to balance strategic vision with tactical implementation
• Excellent communication skills and stakeholder alignment experience

Benefits:

• Competitive total compensation package
• Medical, dental and vision on 1st day
• Company 401K match
• 20 PTO days
• Generous sick leave policy
• Casual day to day work environment
• Hybrid/flexible work environment (for some positions)

E Ink is committed to a diverse and inclusive workforce. E Ink is an equal opportunity employer and does not discriminate on the basis of race, ethnicity, gender, identity, sexual orientation, veteran’s status, disability, age, or on any basis prohibited by federal and state law.