Domain Architect - Data , Senior Specialist
Vanguard is hiring a Domain Architect - Data , Senior Specialist. Level rates it ; you can apply on Level.
AI in this role
Join Vanguard’s Enterprise Data Architecture team and help shape the future of our AI-Ready Data Strategy. This critical role will help define and evolve the enterprise data architecture blueprint, ensuring our data ecosystem is scalable, secure, governed, and optimized for AI, analytics, and data product enablement. You’ll collaborate across subdivisions to establish standards, patterns, and frameworks that enable trusted, high-quality data for the enterprise. If you’re passionate about modern data platforms, cloud-native architectures, and driving innovation through data, this is your opportunity to make a lasting impact.
Responsible for defining and evolving end-to-end enterprise data architecture across modern cloud data platforms, including platform strategy, data design, technology evaluation, integration patterns, governance frameworks, and AI-ready data capabilities.
Responsibilities:
Architects large-scale cloud-native enterprise data platforms leveraging technologies such as Databricks, Apache Iceberg, and Confluent Kafka to support analytics, AI, and operational workloads.
Designs scalable data platforms supporting operational intelligence, advanced analytics, machine learning, and AI-driven business capabilities.
Provides hands-on technical leadership in evaluating, prototyping, and implementing emerging data, AI, and cloud technologies.
Translates complex business and technology requirements into enterprise architecture standards, reference architectures, and implementation roadmaps.
Serves as a trusted advisor to business and technology leaders, influencing strategic decisions and shaping the future direction of the enterprise data architecture.
Qualifications:
Deep expertise designing and implementing solutions on the Databricks Lakehouse Platform is required.
Strong experience with event-driven architectures, streaming data platforms, and Kafka-based ecosystems is highly desired.
Proven track record architecting large-scale data platforms, including lakehouse, data warehouse, streaming, and analytical ecosystems.
Expertise in conceptual, logical, and physical data modeling using multiple modeling methodologies.
Experience designing cloud-native data solutions within AWS ecosystems is preferred.
Experience working on AI, machine learning or GenAI applications is preferred.
Experience with semantic modeling, ontologies, knowledge graphs, and metadata-driven architectures is a plus.
Minimum of ten years of related work experience, with at least five years of data architecture experience.
Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.
About Vanguard
At Vanguard, we don't just have a mission—we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.About Vanguard
At Vanguard, we don't just have a mission—we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
How we rate this
Domain Architect - Data , Senior Specialist at Vanguard rates 64 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- What's a project where you used Databricks hands-on?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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