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, it was 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 world's largest investment management companies, serving more than 50 million investors worldwide. For more than 25 years Vanguard Australia has been supporting individual investors, financial advisers, and superannuation members to achieve their long-term

The APAC Marketing Technology ( MarTech ) team

The Marketing Technology team at Vanguard Australia is undergoing a major evolution. We are shifting towards a modern, data-driven, integrated and AI-enabled ecosystem that underpins personalised customer experiences across multiple channels. This transformation ensures marketing data is treated as a first-class enterprise asset and integrated into our data lake architecture for governance, scalability, and advanced analytics. The MarT e ch and Public Web team is currently in a state of transition and growth, with investments and capability growth underway across:

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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 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 .

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

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

• 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.

• 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.