US LBM Domain Data Architect

US LBM Holdings, LLC; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

US LBM Holdings, LLC is looking for a Domain Data Architect to translate enterprise data strategy into scalable, governed data solutions for a defined business domain. You will define domain-level data models, relationships, and ingestion patterns while partnering with engineering, product, analytics, and platform teams.

You will lead architecture reviews, ensure alignment with security, privacy, lineage, and scalability standards, and shape data platforms across operational and analytical

Qualifications

• Bachelor's degree in a related field; equivalent education, training and experience may be considered.
• Master's degree preferred.
• 5+ years in data architecture, data engineering, software engineering, or related technical role.
• Experience designing data solutions across operational, analytical, warehouse, lakehouse, and application environments.
• Experience with ingestion and integration patterns (batch, APIs, event-driven, and CDC).

Responsibilities

• Own the data architecture strategy, roadmap, and standards for a defined business domain.
• Translate enterprise data principles into domain data models, patterns, ownership models, and governance practices.
• Define authoritative data entities, relationships, integration touchpoints, and consumption models for applications and analytics.
• Lead data architecture reviews for initiatives, migrations, enhancements, and platform decisions.
• Ensure alignment with enterprise standards for modeling, security, privacy, lineage, retention, and scalability.
• Partner with engineering, product, analytics, integration, and platform teams to deliver trusted, reusable data solutions.
• Define source-to-consume reference architectures and ingestion patterns (batch, API, event-driven, CDC).
• Evaluate data platforms, integration tools, modeling approaches, and vendor solutions (MDM, catalog, quality, NoSQL).
• Working experience with MongoDB, Snowflake, OpenFlow, PostgreSQL, Kafka and data-as-a-service architecture.
• Experienced AI agentic programming design and engineering.

Skills

Data architecture

Data modeling

Governance & quality

Stakeholder collaboration

Mentoring

Education

Bachelor's Degree in CS/IS/Data Mgmt/Engineering

Master's Degree preferred

Tools

MongoDB

Snowflake

OpenFlow

PostgreSQL

Kafka

Data services architecture

Job description

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.

A Brief Overview

The US LBM Domain Data Architect translates enterprise data strategy into scalable, governed data solutions for a defined business domain, such as Customer, Product, Supply Chain, Finance, Operations, or Analytics. This person defines domain-level data models, integration patterns, analytics readiness, and data quality standards while partnering with engineering, integration, product, analytics, and platform teams.

What you will do

• Own the data architecture strategy, roadmap, and standards for a defined business domain.
• Translate enterprise data principles into practical domain data models, patterns, ownership models, and governance practices.
• Define authoritative data entities, relationships, integration touchpoints, and consumption models for applications and analytics.
• Lead data architecture reviews for new initiatives, migrations, enhancements, and platform decisions.
• Ensure alignment with enterprise standards for modeling, naming, security, privacy, lineage, retention, and scalability.
• Partner with engineering, product, analytics, integration, and platform teams to deliver trusted, reusable data solutions.
• Define source-to-consume reference architectures and ingestion patterns, including batch, API, event-driven, and CDC-based replication into landing and curated datasets.
• Evaluate data platforms, integration tools, modeling approaches, and vendor solutions (including MDM, catalog, quality, and document/NoSQL stores where applicable).
• Working experience using MongoDB, Snowflake, OpenFlow, PostreSQL, Kafka and data as a service architecture.
• Experienced AI agentic programming design and engineering.

Required For All Jobs

• Perform other duties as assigned.
• Comply with all policies and standards.
• Adhere to Company's commitment to workplace safety.
• Participate in and complete assigned trainings.

Education Qualifications

• Bachelor's Degree in Computer Science, Information Systems, Data Management, Engineering, or related field required. Equivalent education, training, and experience may be considered.
• Master's Degree in a related discipline preferred.

Experience Qualifications

• 5+ years of experience in data architecture, data engineering, software engineering, or a related technical role.
• Experience designing data solutions across operational, analytical, warehouse, lakehouse, and application environments.
• Experience developing conceptual, logical, and physical data models and applying enterprise data governance standards.
• Experience with ingestion and integration patterns, including batch, APIs, event-driven architecture, and CDC/log-based replication (schema drift, incremental loads, idempotent merges, replay/backfill).
• Experience partnering with technical and business stakeholders to deliver analytics-ready data structures and support migration and impact analysis.

Skills and Abilities

• Strong knowledge of enterprise data architecture, data modeling, governance, quality, lineage, and master/reference data concepts.
• Working knowledge of cloud data platforms (Azure preferred), enterprise warehouses (e.g., Snowflake), BI tools (e.g., Tableau), ETL/ELT (e.g., Matillion), streaming/Kafka patterns, APIs, and PostgreSQL operational data stores.
• Understanding of CDC design patterns, operational vs. analytical separation, MongoDB document modeling, and AI-assisted approaches to data design and documentation.
• Ability to translate enterprise strategy into practical domain-level standards, reference architectures, and delivery guidance.
• Strong communication, collaboration, stakeholder engagement, influence without authority, and mentoring skills

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.