Staff Data Engineer

Full-time - Senior

Hybrid - New York, NY

Furniture, Home Furnishings, Electronics, and Appliance Retailers

About the position

Material Bank is seeking a Data Engineer with deep expertise in engineering and data platform design to enable and enhance Material Bank's internal catalog systems, tailored specifically for eCommerce applications and supporting complex Bill of Materials (BOM) structures. As a Data Engineer at Material Bank, you will take a hands-on role as an individual contributor (IC), designing, architecting, and implementing scalable database systems that support a comprehensive material catalog, central to eCommerce operations, and the creation and management of BOMs.

Responsibilities

• Lead the design and development of robust, scalable database systems that underlie Material Bank's comprehensive material catalog.
• Develop optimal schemas and attributes that ensure data integrity, efficient retrieval, and support the detailed specification of materials in BOMs across databases and PIM systems.
• Develop and enhance data structures that support the creation, management, and retrieval of BOMs.
• Organize data management to ensure that product data remains independent for each business domain.
• Create and maintain a platform that enables decentralized data ownership and architecture.
• Develop and implement a self-serve data platform that enables domain teams to autonomously create and consume data products.
• Engage directly in the creation of detailed data models and the hands-on implementation of scalable, performant systems using tools like DBT, Airflow, and AWS data services such as AWS Glue.
• Develop and maintain ingestion pipelines for catalog and BOM data from multiple sources, including third-party data providers, brand partners, and web scraping.
• Establish and enforce data governance policies that ensure data quality, integrity, and provenance across catalog and BOM-related data.
• Work closely with cross-functional teams, including product managers, engineers, designers, and other technical stakeholders, ensuring that technical specifications are met with high standards of precision and performance.
• Drive continuous innovation by refining and optimizing database architectures, introducing new tools and methods, and applying best practices.

Requirements

• 10+ years of experience in data architecture and data platform design, with a strong focus on eCommerce and BOM applications.
• In-depth knowledge of product catalog design, including taxonomy, attribute management, BOM data integration, and data provenance.
• Proven ability to architect and optimize schemas for large-scale databases, particularly in supporting complex BOMs in an eCommerce environment.
• Extensive hands-on experience with AWS ecosystem data services, including tools like DBT, Airbyte, Airflow, and AWS Glue.
• Proficiency in programming languages commonly used in data engineering and architecture, such as Python, SQL, and Java.
• Experience in developing and implementing a Data Quality Matrix to continuously monitor and improve data quality across systems.
• Experience with decentralized data ownership and architecture, enabling domain teams to manage their own data while maintaining organizational data integrity.
• Proven track record in developing self-serve data platforms that empower domain teams to autonomously manage and utilize data products.
• Excellent collaboration and communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Nice-to-haves

• Relevant certifications (e.g., AWS Certified Solutions Architect) are a plus.

Benefits

• Generous PTO, Sick Days, Paid National Holidays.
• Health benefits including contributions to medical, dental, vision, and short-term/long-term disability plans.
• 401(k) eligible after your first 90 days employed.
• Time off to give back to the community through sponsored events.
• Opportunities for career growth and creativity within the company.
• Flexible work schedules with a hybrid working model.