2 months ago
Responsibilities
- Design and drive enterprise-scale data architecture and engineering solutions across multiple systems and domains.
- Architect and build the data layer for Xometry’s DFM AI and IQE partner integration, including bidirectional pipelines, shared data models, low-latency signal paths, governance, lineage, and auditing.
- Build and optimize reliable batch, streaming, real-time, and event-driven data pipelines, models, and platforms.
- Own data engineering work end to end from acquisition and transformation through delivery, observability, and performance optimization.
- Define and enforce standards for data modeling, CI/CD, testing, contract testing, schema evolution, and code quality.
- Develop multi-quarter technical roadmaps and independently solve ambiguous cross-domain problems.
- Collaborate with engineering, product, analytics, machine learning, business, and partner engineering teams.
- Mentor engineers through design reviews, code reviews, and technical guidance.
- Evaluate data engineering tools, platforms, and architectural patterns.
Requirements
- Bachelor’s degree in a STEM field or equivalent experience, plus at least 5 years in a data engineering-related role.
- Demonstrated ownership of complex, large-scale data systems and enterprise data architecture across multiple systems or domains.
- Deep expertise with cloud data warehouses, especially Snowflake, including optimization and performance tuning.
- Expert SQL skills and strong Python proficiency, with the ability to learn additional languages.
- Hands-on experience with data pipelines and modern tooling such as dbt, Airbyte, and Airflow.
- Working knowledge of queueing, batch and stream processing technologies such as Kafka, Spark, and Kinesis, and scalable data stores such as Apache Iceberg.
- Experience building database-heavy services or APIs and designing for testability and maintainability.
- Deep understanding of CI/CD, automated testing, contract testing, and schema evolution in data pipelines.
- Strong knowledge of the AWS data ecosystem and cloud-native infrastructure.
- Experience integrating with PLM, ERP, or large enterprise SaaS systems; Teamcenter experience or comparable PLM exposure is a strong plus.
- Familiarity with data visualization tools such as Looker and Streamlit.
- Experience with data governance, data quality frameworks, observability tooling, lakehouse or data mesh patterns, infrastructure as code, event-driven architecture, CDC pipelines, and low-latency operational data flows.
- Ability to work independently on ambiguous assignments and communicate with internal and external partner teams.
- Manufacturing, supply chain, or marketplace experience is a plus.
Benefits
- Competitive benefits package including 401(k) match.
- Medical, dental, and vision insurance.
- Life and disability insurance.
- Generous paid time off including vacation, sick leave, floating holidays, fixed holidays, maternity leave, and bonding leave.
- Employee Assistance Program and other wellbeing resources.
- Hybrid work arrangement.
Tech Stack
Categories
Data Engineering
About Xometry
Xometry builds an AI-enabled marketplace that connects engineers and procurement teams with a vetted global network of manufacturers for on-demand CNC machining, 3D printing, sheet metal, and injection molding. The company earns fees by brokering instant-quote RFQs and managing production, logistics, and quality across its supplier base. Founded in 2013, Xometry is a publicly traded company (NASDAQ: XMTR) based in the Washington, DC–Baltimore area and serves buyers from startups to Fortune 1000 firms.