Enterprise Data Architect
Listed on 2026-06-14
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IT/Tech
Data Engineering, Data Warehousing
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!
- 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.
- 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.
- Robust benefits package including health, dental and vision insurance, paid time off and a 401(k) plan with employer matching.
- Comprehensive professional development opportunities.
- Global career opportunities.
$98,000 – $182,000 per year
Additional InformationThis position is subject to mandatory background screening and regulatory approvals. Candidates must complete a criminal background check, submit fingerprints and obtain licenses or registrations with applicable gaming regulatory authorities. Aristocrat operates in a highly regulated environment and holds licenses in over 340 gaming jurisdictions worldwide. Applicants must be authorized to work in the job posting location on a full‑time basis without need for visa sponsorship.
EEOStatement
We welcome and encourage applications from all people regardless of age, gender, race, ethnicity, cultural background, disability status or LGBTQ+ identity. EEO M/F/D/V
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