Technical Lead, Customer Data & Personalization Platforms

Qualifications

• Minimum of 8+ years of experience in software engineering, data engineering, or data platform development, including 3+ years in a technical leadership role.
• Strong experience designing, building, and operating large-scale data platforms, data products, and distributed data processing solutions.
• Familiarity with modern MarTech and AdTech platforms, including audience activation, measurement, campaign orchestration, and digital marketing ecosystems.
• Knowledge of performance marketing, customer journey analytics, personalization, audience targeting, and marketing measurement.
• Experience with Identity Resolution, customer profile management, audience segmentation, consent management, and customer intelligence platforms.
• Experience working with Data Clean Rooms and privacy-safe data collaboration technologies preferred.
• Hands-on experience with cloud-native data platforms and architectures, preferably AWS.
• Deep expertise in data engineering technologies, including Python, SQL, Spark, Kafka, and modern data processing frameworks.
• Hands-on experience with Databricks, Delta Lake, Customer Lake CDP, Unity Catalog, and modern Lakehouse architectures preferred.
• Experience with GenAI, agentic AI, and MCP, enabling AI-powered personalization, customer intelligence, and marketing experiences through modern data platforms.
• Experience building scalable batch and streaming data pipelines with a strong focus on performance, reliability, observability, and data quality.
• Strong understanding of DataOps, CI/CD, Infrastructure as Code, automated testing, monitoring, and operational excellence practices.
• Experience designing APIs and data services to support consumer, analytics, and activation use cases.
• Strong understanding of data governance, metadata management, privacy, security, and regulatory considerations involving customer data.
• Proven ability to influence architecture decisions and collaborate effectively across Product, Engineering, Marketing, Analytics, and business stakeholders.
• Demonstrated ability to mentor engineers and provide technical leadership across cross-functional teams.
• Experience supporting AI/ML, customer intelligence, or next-generation marketing platforms preferred.
• Passion for evaluating emerging technologies and shaping enterprise-wide standards and best practices.
• Special Factors
• Sponsorship
• 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.