Application Engineer MarTech

About Vanguard

More than 45 years ago John C. Bogle had a vision to start an investment company that did things differently. A company with no external shareholders. Where all the profits were invested back into the business and used to lower costs.Evidently itwas as bold as it was brilliant. To this day Vanguard Group still has no external shareholders. That means no share prices to protect and no profits to generate for outside owners.

Today Vanguard is one of the worlds largest investment management companies serving more than50 million investorsworldwide. For more than 25 years Vanguard Australia has been supporting individual investors financial advisers and superannuation members to achieve their long-term

A. Adobe CDP (AEP) Support & Optimisation

• Maintain and enhance Adobe Real-Time CDP including schemas datasets data governance labels and identities.

• Manage identity resolution rules namespaces and stitching logic for unified profiles.

• Support the creation and troubleshooting of audiences segments and activation workflows across channels.

• Ensure data quality schema alignment and governance standards are consistently applied in line with Customer Data policies.

B. Data Pipelines & Integrations

• Support and optimise data ingestion pipelines from internal systems and the enterprise data lake into the CDP (batch and streaming) using AWS Lambda S3.

• Monitor and troubleshoot ingestion pipelines for data quality and performance.

• Support outbound data flows from CDP to downstream platforms including:

• Adobe Journey Optimizer (AJO)

• Adobe Target

• CJA (Customer Journey Analytics)

• Salesforce Marketing Cloud (SFMC)

• Other activation endpoints

• Work closely with Data Engineering and Customer Data teams to align data models ingestion methods and transformations.

C. Cross-Platform Enablement

• Collaborate with marketing teams to ensure audiences and segments activate correctly into SFMC AJO and Adobe Target.

• Assist in configuring real-time triggers events and personalised experiences.

• Support the journey orchestration patterns being developed as we shift more journeys into Adobe AJO.

D. Tracking Consolidating and Sharing Customer Sentiment AWS Bedrock Integration

• Support ingestion of customer data signals into AEP/CDP for unified profiling.

• Work with Engineering and Cloud teams to align the AWS Bedrock interim solution with long-term data lake and AI strategy.

• Ensure customer sentiment/feedback datasets can be activated across the wider MarTech ecosystem.

E. Governance Privacy & Compliance

• Uphold Data Governance and Responsible AI standards as defined by Customer Data Team.

• Ensure data is used in accordance with consent MFA/PII requirements and Vanguard security policies.

• Ensure compliance with GDPR CCPA and other privacy regulations.

• Participate in audits and documentation for data lineage and usage across CDP and data lake.

F. Stakeholder Engagement & Support

• Work closely with Marketing Global MarTech Customer Data Team Data Engineering Architecture and Delivery.

• Provide L2/L3 support for issues across CDP and integrations.

• Educate business users on best practices for CDP and activation platforms.

Skills Experience & Capabilities Required:

Technical Skills Adobe CDP / Adobe Experience Platform (AEP)

• Strong understanding of XDM schemas datasets identity graphs and labels.

• Experience configuring and troubleshooting AEP ingestion pipelines (batch/streaming).

• Experience with Audience Composition Activation and Governance tagging.

• Familiarity with Adobe Journey Optimizer and event-based activation patterns.

• Adobe certifications (AEP/RTCDP) highly desirable.

Data Pipelines & Integrations

• Data handling best practices including understanding of additional security controls on handling PII data Data retention policies.

• Experience with customer and behavioural data ingestion from multiple systems and data lake architectures.

• Working knowledge of APIs ETL/ELT processes and data mapping.

• Experience with one or more of the following advantageous:

• Adobe Source/Connector frameworks

• Adobe Target integrations

• CJA (Customer Journey Analytics) Integrations

• SFMC Contact Builder / Data Extensions

• Event-driven architectures

• Performance optimisation and scalability considerations for high-volume data flows.

AWS & Emerging AI Capabilities

• Familiarity with AWS (S3 Glue Lambda EventBridge Bedrock models).

• Understanding of how to integrate AI-generated data or insights into MarTech platforms.

Marketing Technology Platforms

• Experience in at least two of:

• Adobe Journey Optimizer

• Adobe Target

• Adobe Analytics

• Salesforce Marketing Cloud (SFMC)

• Broader integration scope across Adobe Analytics and Marketo.

• Understanding of cross-channel orchestration personalisation at scale and segmentation design.

Data & Analytical Skills

• Ability to analyse data quality issues and propose remediation.

• Experience with SQL or similar query languages.

• Ability to read/debug JSON logs API payloads and event sets.

Soft Skills & Behaviours

• Strong stakeholder communication across marketing data engineering and business teams.

• Ability to work in a changing transitioning environment.

• Comfort with ambiguity while building new capability foundations.

• Detail-oriented structured and strong documentation habits.

• Collaborative and proactive mindset.

Why This Role Matters

This role sits at the centre of Vanguards evolution to a modern insight-driven customer-first digital ecosystem. You will be joining at a time where:

New platforms (Adobe CDP AJO Bedrock) are being enhanced or stood up.

Legacy processes are being transformed.

The team is growing and reshaping around best-practice Marketing

Technology and enterprise data governance under Customer Data.

You will directly help shape the data foundations activation patterns and AI-enabled insights that define the next era of Vanguards customer experience.