Materials Informatics Platform Architect

Materials Informatics Platform Architect

E Ink is the originator, pioneer, and commercial leader in ePaper technology. The Billerica Research & Development team is thriving, and we seek a self‑driven individual to lead the next‑generation data platform supporting materials research, formulation, and manufacturing.

About the position: E Ink provides electronic paper display technology used by eReaders worldwide. As a Materials Informatics Platform Architect, you will lead 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.

• 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
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  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
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  Implement robust lineage tracking and data validation pipelines to ensure transparency, reproducibility, and trustworthiness of datasets.
• Feature Store Engineering
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  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 empowers all users.
• Evaluate and select technologies and products
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  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.

• 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.

• Competitive total compensation package.
• Medical, dental, and vision coverage from day one.
• Company 401(k) match.
• 20 PTO days.
• Generous sick leave policy.
• Casual day‑to‑day work environment.
• Hybrid/flexible work environment (for some positions).

Salary Range Disclosure
:
The annual base salary range for this position is $130,000 to $160,000, not including variable pay. The total compensation package may include performance‑based incentives, discretionary bonuses, and other variable pay components. The salary range reflects a reasonable estimate at the time of posting and may vary based on experience, skills, education, certifications, and location.

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.