Technical Lead, Customer Data & Personalization Platforms
LocationCharlotte, NC; Malvern, PA
Work modehybrid
Typefull-time
SeniorityLead
Experience8+ yrs
Company size10,000+ people
First seenOct 7, 2026 · 4d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have16
8+ years of experience in software engineering, data engineering, or data platform development
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
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 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
Passion for evaluating emerging technologies and shaping enterprise-wide standards and best practices
Nice to have3
Experience 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 supporting AI/ML, customer intelligence, or next-generation marketing platforms
Eligibility1
Vanguard is not offering visa sponsorship for this position
Skills
Python
SQL
Spark
Kafka
Databricks
Delta Lake
Customer Lake CDP
Unity Catalog
AWS
CI/CD
Infrastructure as Code
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.
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Lead the architecture, design, and delivery of scalable, secure, and governed data solutions, ensuring reliability, performance, and operational excellence across the platform landscape.
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Drive engineering best practices across data architecture, DataOps, observability, CI/CD, testing, security, and platform operations.
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Partner closely with Product, Marketing, Analytics, AdTech, and Engineering teams to translate business objectives into durable, scalable technical solutions.
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Provide technical oversight for the full solution lifecycle, including architecture reviews, design decisions, implementation, testing, deployment, and ongoing optimization.
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Establish and enforce data governance, privacy, security, and compliance standards for customer and identity data, ensuring alignment with enterprise and regulatory requirements.
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Evaluate emerging technologies and platform capabilities, developing roadmaps and recommendations that advance Vanguard’s marketing, customer intelligence, and activation strategies.
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Coach and mentor engineers and technical contributors, providing guidance on architecture, design patterns, engineering practices, and technology adoption.
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Communicate platform strategy, technical direction, risks, and recommendations to stakeholders at varying levels across Product, Engineering, and business organizations.
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Drive continuous improvement through modern engineering practices, automation, operational metrics, and platform optimization initiatives.
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
Legal
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.