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Enterprise Data Architect
AristocratData Architect at Aristocrat developing enterprise data architectures in gaming technology. Collaborating with teams to ensure alignment with business goals and architectural standards.
Posted 6/11/2026full-timeLas Vegas • Nevada • 🇺🇸 United StatesMid-LevelSenior💰 $98,000 - $182,000 per yearWebsite
Tech Stack
Tools & technologiesCloudSQLVault
About the role
Key responsibilities & impact- Define and evolve enterprise data architecture principles, standards, and build specifications.
- Produce detailed technical development artifacts including data flow diagrams, process flows, and system interactions.
- Partner with collaborators to map processes, data flows, and system dependencies end-to-end and translate complex business processes into clear data and process flow builds.
- Design end-to-end data lifecycle within the enterprise data platform, from source systems through standardization to consumption.
- Develop and maintain conceptual, logical, and physical data models that align with enterprise standards.
- Establish and enforce data modeling standards, naming conventions, and documentation practices.
- Define and manage data abstraction layers (conceptual, logical, physical, semantic).
- Apply guidelines across 3NF, dimensional, and Data Vault modeling approaches.
- Ensure alignment between business definitions, data structures, and downstream consumption needs.
- Build and maintain canonical data models to enable consistency across systems and domains.
- Define enterprise integration patterns for data sharing (cloud share, batch, streaming, APIs, event-driven) and their appropriate use.
- Architect for interoperability across platforms, enabling decoupled and reusable data assets.
- Define data contracts and interface specifications between producers and consumers.
- Make and detail architecture trade-offs (e.g., normalization vs usability, latency vs consistency).
- Promote data quality, lineage, and governance throughout data flows.
- Perform data analysis and data profiling to validate assumptions and inform builds.
- Guide and mentor team members on architectural standards and technical build guidelines.
Requirements
What you’ll need- Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Management, or related field
- 5+ years of experience in data architecture or advanced data modeling roles
- Proven experience designing models in manufacturing, gaming, or retail domains
- Extensive experience in conceptual, logical, and physical modeling
- Hands-on experience with Snowflake data modeling and implementation alignment
- Proficient in SQL for data examination and profiling
- Experience with data modeling tools (ERwin, ER/Studio, etc.) and diagramming tools (Lucidchart, Visio, etc.)
- Excellent communication and storytelling skills with data structures
- Highly diligent with a focus on accuracy, consistency, and semantic clarity
- Ability to evaluate trade-offs and make sound architectural decisions.
Benefits
Comp & perks- Health insurance
- Dental insurance
- Vision insurance
- Paid time off
- 401(k) plan with employer matching
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data architecturedata modelingdata flow diagramsdata analysisdata profiling3NF modelingdimensional modelingData Vault modelingSQLcanonical data models
Soft Skills
communication skillsstorytelling with datadiligenceaccuracyconsistencysemantic clarityevaluating trade-offsarchitectural decision-makingmentoringcollaboration