Enterprise Data Architect

Aristocrat GamingLas Vegas, NV
$98,000 - $182,000Onsite

About The Position

Join Aristocrat, a global leader in gaming content and technology, where we bring happiness to life through the power of play. As a Data Architect, you will be at the heart of crafting the foundation of our data ecosystem. This remarkable opportunity offers work in a dynamic and innovative environment. You will collaborate closely with business partners and technical teams to ensure architectural consistency and alignment with business goals. If you are passionate about data architecture and modeling expertise, and can translate complex business processes into strong data models, this role is ideal for you!

Requirements

  • 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.
  • Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

Responsibilities

  • 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.

Benefits

  • health, dental, and vision insurance
  • paid time off
  • 401(k) plan with employer matching
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service