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Vanguard

Manages investment funds and retirement savings

Technical Lead - Customer Data & Personalization Platforms

Data EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A 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.
  • 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.
  • 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.
  • Passion for evaluating emerging technologies and shaping enterprise-wide standards and best practices.

Responsibilities

  • Provide technical leadership for Vanguard's MarTech Data Platform ecosystem, including Customer Data Platforms, 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.

Desired Qualifications

  • Experience working with Data Clean Rooms and privacy-safe data collaboration technologies.
  • Hands-on experience with Databricks, Delta Lake, Customer Lake CDP, Unity Catalog, and modern Lakehouse architectures.
  • Experience with GenAI, agentic AI, and MCP, enabling AI-powered personalization, customer intelligence, and marketing experiences through modern data platforms.
  • Experience supporting AI/ML, customer intelligence, or next-generation marketing platforms.

About the Company

Vanguard

Manages investment funds and retirement savings

Vanguard manages mutual funds, exchange-traded funds, and retirement investments for individuals, financial advisers, and institutions. Its Vanguard 500 Index Fund gives investors exposure to large U.S. companies by tracking the S&P 500, while its lineup also includes actively managed stock and bond funds. Clients invest through brokerage and retirement accounts, workplace plans, or advisers, and advisory services build and maintain portfolios around their goals. Fund expenses and advisory fees pay for investment management and account services, with advisory charges based on the assets managed. Founded in 1975, Vanguard is headquartered in Malvern, Pennsylvania, United States.

Company size
10,001+
Company stage
Debt Financing
Total funding
$4B
Headquarters
Malvern, PA
Founded
1975

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