E Ink is an industry leader in ePaper technology. They are seeking an experienced and visionary Materials Informatics Platform Architect to lead the development of a next‑generation data platform supporting materials research, formulation, and manufacturing. This foundational role 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 R&D and operations.
About the Position
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 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 empowers 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 1 st 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, color, religion, sex, sexual orientation, gender identity, veteran status, disability, or any other basis prohibited by federal and state law.
Salary Range Disclosure
The annual base salary range for this position is $130,000 to $160,000, not including any variable pay. The total compensation package may include performance-based incentives, discretionary bonuses, and other variable pay components. The salary range for this position reflects a reasonable estimate at the time of posting and may vary based on factors such as experience, skills, education, certifications, and location.
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