Enterprise AI Data Architect & MLOps Leader

We are looking for a strategic, hands-on architect with strong experience designing and scaling enterprise AI platforms, data lakes, and MLOps capabilities in the cloud.

Our client needs someone who can connect large-scale data engineering with production-grade machine learning and Generative AI, including RAG, foundation models, agentic workflows, and secure enterprise integration.

You will play a key role in shaping modern AI and data architecture, defining scalable patterns, and helping deliver advanced enterprise solutions from experimentation through to production.

What you’ll bring to this role

Experience with end-to-end machine learning and MLOps platforms

You have designed, trained, deployed, and operated production ML solutions using platforms such as SageMaker, Azure Machine Learning, Google Vertex AI, Databricks Machine Learning, Mosaic AI, or equivalent.

Experience with Generative AI and foundation model platforms

You have hands-on experience building GenAI applications, RAG solutions, agents, or LLM-powered capabilities using platforms such as Bedrock, Microsoft Foundry, Vertex AI, Databricks Mosaic AI, OpenAI, Anthropic, or equivalent.

Experience with enterprise cloud data platforms

You have designed scalable data lake, lakehouse, and object-storage architectures across AWS, Azure, GCP, Databricks, Snowflake, or comparable enterprise environments.

Experience with data integration and transformation

You have built complex ETL/ELT pipelines and integrated data across multiple enterprise systems using cloud-native, commercial, or open-source data engineering technologies.

Experience with large-scale distributed data processing

You have processed and transformed high-volume datasets using technologies such as Apache Spark, Hadoop, Databricks, or comparable distributed processing platforms.





Experience with real-time streaming and event-driven architectures

You have designed streaming data pipelines and event-processing solutions using technologies such as Apache Kafka, Confluent, Event Hubs, Pub/Sub, or equivalent.

Experience with cloud data warehousing and analytics

You have designed and worked with modern analytical platforms such as Snowflake, BigQuery, Microsoft Fabric, Azure Synapse, Databricks, or comparable cloud data warehouse technologies.

Experience with serverless and data-lake analytics

You have designed solutions that allow users and applications to analyse large datasets directly across modern cloud data platforms using SQL and distributed query technologies.

Experience with relational and NoSQL databases

You have strong experience selecting, designing, and working with relational and non-relational data stores, including PostgreSQL, MySQL, SQL Server, Oracle, MongoDB, Cassandra, Cosmos DB, DynamoDB, or similar technologies.

Experience with data governance, catalogue, and access management

You have implemented enterprise data discovery, governance, lineage, and controlled-access capabilities using platforms such as Microsoft Purview, Unity Catalog, Collibra, Alation, Dataplex, or equivalent.

Experience with business intelligence and data visualisation

You have turned complex datasets into accessible insights and dashboards using platforms such as Power BI, Tableau, Looker, Qlik, QuickSight, or equivalent.





About working with Valrose – We listen. We understand. We solve.

Valrose consultants work with you to understand where your character, aspirations and skills will be most valued.

We will understand your priorities, whether financial, career progression, workplace culture or technology-related. We will discuss the opportunity thoroughly, explain how it aligns with your career goals, and guide you through the recruitment process with practical advice and support from your initial application through to offer.

We are trusted advisors to our clients, acting as an extension of their business.

We genuinely care about our candidates and enjoy connecting people with opportunities in which they can do meaningful work. Please apply or contact the Valrose team for a confidential discussion about the role, the technical environment and the selection process.

Our ValuesHumanity – Success – Integrity – Accountability – Curiosity

Diversity – Welcome it. Trust it. Celebrate it.

Within our business, we have created an setting where anyone from any background can bring their authentic self to work, celebrating our differences while working towards a common purpose.

We believe this is not only the ethical thing to do; it is the intelligent thing to do. Diversity drives innovation.

The Valrose team is committed to building inclusive cultures and promoting equality for all.

- 2024 – Sourcr Award for Best Agency for ICT, WA
- 2023 – SEEK SARA Award Finalist for Outstanding Agency
- 2023 – RCSA Award Finalist for Outstanding Agency
- 2022 – Sourcr Award for Best Agency for Technology, WA
- 2021 – SEEK SARA Award Finalist for Excellence in Candidate Engagement

Valrose is a Circle Back Initiative Recruitment Agency — we commit to responding to every applicant. #SCR-Mike-Quigley

📌 Enterprise AI Data Architect & MLOps Leader (Perth)
🏢 Valrose
📍 Perth