Core Responsibilities
- Provide technical leadership for Vanguard's MarTech Data Platform ecosystem, including Customer Data Platforms (CDP), Identity Resolution, Data Clean Rooms, customer data assets, and activation platforms that power modern marketing and personalization at scale.
- Lead the architecture, design, and delivery of scalable, secure, and governed data solutions, ensuring reliability, performance, and operational excellence across the platform landscape.
- Drive engineering best practices across data architecture, DataOps, observability, CI/CD, testing, security, and platform operations.
- Partner closely with Product, Marketing, Analytics, AdTech, and Engineering teams to translate business objectives into durable, scalable technical solutions.
- Provide technical oversight for the full solution lifecycle, including architecture reviews, design decisions, implementation, testing, deployment, and ongoing optimization.
- Establish and enforce data governance, privacy, security, and compliance standards for customer and identity data, ensuring alignment with enterprise and regulatory requirements.
- Evaluate emerging technologies and platform capabilities, developing roadmaps and recommendations that advance Vanguard's marketing, customer intelligence, and activation strategies.
- Coach and mentor engineers and technical contributors, providing guidance on architecture, design patterns, engineering practices, and technology adoption.
- Communicate platform strategy, technical direction, risks, and recommendations to stakeholders at varying levels across Product, Engineering, and business organizations.
- Drive continuous improvement through modern engineering practices, automation, operational metrics, and platform optimization initiatives.
- 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
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.
Skills Required
- 8+ years of experience in software engineering, data engineering, or data platform development
- 3+ years of experience in a technical leadership role
- Experience designing, building, and operating large-scale data platforms, data products, and distributed data processing solutions
- Familiarity with modern MarTech and AdTech platforms, 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 with cloud-native data platforms and architectures, preferably AWS
- Deep expertise in Python, SQL, Spark, Kafka, and modern data processing frameworks
- Hands-on experience with Databricks, Delta Lake, Customer Lake CDP, Unity Catalog, and lakehouse architectures
- Experience with data clean rooms and privacy-safe data collaboration technologies
- Experience with GenAI, agentic AI, and MCP
- Experience building scalable batch and streaming data pipelines with emphasis on performance, reliability, observability, and data quality
- Understanding of DataOps, CI/CD, Infrastructure as Code, automated testing, monitoring, and operational excellence
- Experience designing APIs and data services for consumer, analytics, and activation use cases
- Understanding of data governance, metadata management, privacy, security, and regulatory requirements involving customer data
- Ability to influence architecture decisions and collaborate across Product, Engineering, Marketing, Analytics, and business stakeholders
- Ability to mentor engineers and provide technical leadership across cross-functional teams
- Experience supporting AI/ML, customer intelligence, or next-generation marketing platforms
Vanguard Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vanguard and has not been reviewed or approved by Vanguard.
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Retirement Support — Retirement support appears unusually strong through a 401(k) design that includes a match plus an additional employer contribution, which can materially lift long-term total rewards. HSA seeding and an enhanced employer match further strengthen the savings-and-benefits value of the package.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle support is reinforced by a sizable annual FlexFund stipend that can be applied across many day-to-day categories such as fitness, childcare, and other personal expenses. On-site or virtual clinics and fitness options add practical health and wellness convenience.
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Affordable Benefits — Healthcare and related benefits are positioned as comparatively affordable via heavily subsidized medical plans and broad coverage options. This affordability can offset moderate base pay for employees who place higher value on out-of-pocket cost reductions.
Vanguard Insights
What We Do
We are a community of 30 million who think – and feel – differently about investing. Together, we’re changing the way the world invests. Since our founding in 1975, helping our investors achieve their goals is our sole reason for existence. With no other parties to answer to and therefore no conflicting loyalties, we make every decision—like keeping investing costs as low as possible—with only your needs in mind. Vanguard is one of the world's largest investment companies, offering a large selection of high-quality low-cost mutual funds, ETFs, advice, and related services. Individual and institutional investors, financial professionals, and plan sponsors can benefit from the size, stability, and experience Vanguard offers. As of April 30, 2019, we managed more than $5.6 trillion in global assets. In addition, we have 189 funds in the United States and 225 funds in global markets. For Commenting Guidelines & Important information, visit here: http://vanguard.com/linkedin Vanguard Marketing Corporation, Distributor.
