About the role
US LBM is one of the leading and fastest growing distributors of specialty building materials in the United States, with a team of over 13,000 employees located throughout the country. Since our founding in 2009, we have acquired over 100 companies and have expanded to more than 450 locations serving 37 states. US LBM is a progressive organization that promotes a unique culture that focuses on the value of its customers and associates. Developing our people is critical to our strategy and fostering our culture of empowerment.
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A Brief Overview
The US LBM Lead Data Engineer will have deep expertise in Snowflake, data architecture, and cloud-native data engineering to lead the design and delivery of scalable, high-performance data solutions. This role combines hands-on technical leadership with architectural oversight — guiding a team of data engineers to build robust data pipelines, APIs, and integrations that power analytics, AI, and business intelligence platforms.
What you will do
Define and evolve the enterprise data architecture strategy leveraging Snowflake, cloud-native design, and scalable frameworks.
Lead and mentor a team of data engineers, providing technical direction, code reviews, and architectural oversight.
Collaborate with enterprise and solution architects to ensure alignment with governance, security, and compliance standards.
Design, build, and optimize ETL/ELT pipelines in Matillion and Snowflake for structured and semi-structured data.
Implement and maintain data quality, lineage, and observability frameworks to ensure accuracy and reliability.
Architect and deploy APIs for enterprise data access, integrating CI/CD and DevOps automation.
Orchestrate data workflows using Snowpark, Azure Functions, API Gateways, and event-driven processing tools.
Integrate AI and Cortex Services to enable intelligent data access, ML-driven insights, and scalable MLOps practices.
Translate business needs into scalable technical solutions through close partnership with analytics and product teams.
Champion engineering best practices, ensuring test automation, performance optimization, and operational excellence.
Required For All Jobs
Perform other duties as assigned.
Comply with all policies and standards.
Adheres to Company’s commitment to workplace safety.
Education Qualifications
Bachelor's Degree in a quantitative field with 7-10 years of experience or Master’s Degree with 5 years of experience.
Experience Qualifications
7+ years of data engineering experience, with 3+ years leading data engineering teams.
Proven expertise in Snowflake architecture, data modeling, and performance optimization.
Hands-on experience with Matillion, Snowpark, SQL, and Python.
Experience integrating AI/ML pipelines with data platforms (Snowflake + Vertex AI preferred).
Any domain experience in the lumber /construction / manufacturing industries is a huge plus.
You must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Skills and Abilities
Strong understanding of data governance, security, and metadata management.
Familiarity with Azure cloud infrastructure, CI/CD pipelines, and API development.
Excellent communication and leadership skills, with the ability to influence and align cross-functional teams.
Exposure to ERP data sources and legacy system migration.
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US LBM Holdings, LLC, is an equal-opportunity employer. We do not discriminate on the basis of race, color, religion, creed, national origin or ancestry, sex, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, marital status, military status, order of protection status, or any other legally recognized protected basis under federal, state, or local law.
Originally posted on Himalayas