Domain Data Architect: Scalable, Governed Data Solutions

US LBM Holdings, LLC; Albany (TX); On-site; USD 140,000 - 180,000; Full time

Job summary

US LBM Holdings, LLC is seeking a Domain Data Architect to translate our enterprise data strategy into scalable, governed data solutions across Customer, Product, Supply Chain, Finance, Operations, and Analytics. You will define domain models, standards, and conservation patterns while aligning with engineering and platform teams.

The role requires building authoritative data entities, overseeing ingestion patterns from batch to streaming, and guiding data governance, security, and privacy.

Qualifications

• 5+ years in data architecture or related technical role.
• Experience designing data solutions across operational and analytical environments.
• In-depth knowledge of data governance, lineage, and quality.
• Experience with ingestion patterns: batch, API, event-driven, CDC.

Responsibilities

• Own the data architecture strategy, roadmap, and standards for a defined domain.
• Translate principles into domain data models, patterns, and governance.
• Define authoritative data entities, relationships, and ingestion touchpoints.
• Lead architecture reviews for new initiatives and migrations.
• Partner with engineering, product, analytics, and platform teams to deliver trusted data solutions.

Skills

Data architecture

Data modeling

Governance & quality

Cloud data platforms

Kafka / streaming

SQL / PostgreSQL

Stakeholder engagement

Mentoring

Education

Bachelor's Degree in Computer Science / related field

Master's Degree preferred

Tools

MongoDB

Snowflake

PostgreSQL

Kafka

Tableau

Matillion

Job description

US LBM Holdings, LLC is seeking a Domain Data Architect to translate our enterprise data strategy into scalable, governed data solutions across Customer, Product, Supply Chain, Finance, Operations, and Analytics. You will define domain models, standards, and conservation patterns while aligning with engineering and platform teams.

The role requires building authoritative data entities, overseeing ingestion patterns from batch to streaming, and guiding data governance, security, and privacy.