Domain Data Architect

🔥 0 minutes ago

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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US LBM

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2009

📦 Logistics

🏭 Manufacturing

💼 Consulting

💰 Private Equity Round on 2023-10

Logistics • Manufacturing • Consulting

US LBM is one of the largest building products distributors in the United States, operating over 400 locations nationwide. The company provides a wide range of building materials through its local divisions, catering to custom home builders, national builders, and specialty contractors. US LBM combines the advantages of national scale with the service levels, expertise, and entrepreneurial culture of its local brands, distributing specialty building materials for the construction, maintenance, and renovation of homes, businesses, and communities across the country.

📋 Description

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

🎯 Requirements

• Bachelor's Degree in Computer Science, Information Systems, Data Management, Engineering, or related field required; equivalent education, training, and experience may be considered • 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 • 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 • Working experience using MongoDB, Snowflake, OpenFlow, PostgreSQL, Kafka, and data as a service architecture • Experienced AI agentic programming design and engineering • Strong communication, collaboration, stakeholder engagement, influence without authority, and mentoring skills