> Markdown version of [/jobs/ext/2835648-technical-lead-customer-data-personalization-platforms](https://www.wearedevelopers.com/jobs/ext/2835648-technical-lead-customer-data-personalization-platforms). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Lead, Customer Data & Personalization Platforms - **Company:** Vanguard - **Location:** Malvern, PA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Automation of Tests, Big Data, Continuous Integration, Customer Data Management, Data as a Services, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Systems, Software Design Patterns, Distributed Computing Environment, Python (Programming Language), Meta-Data Management, Cloud Services, DataOps, Software Engineering, SQL Databases, Data Streaming, Apache Spark, Data Lakes, Infrastructure Automation Frameworks, Integration Frameworks, Apache Kafka, Data Management, Virtual Agents, User Identification, Databricks - **Published:** September 10, 2026 - **Apply:** http://www.vanguardjobs.com/job/23849044/technical-lead-customer-data-personalization-platforms-malvern-pa/?utm_medium=%22mcloud%2Djobads%22&utm_campaign=Technology&utm_content=Technical%20Lead%2C%20Customer%20Data%20%26%20Personalization%20Platforms&utm_term=182130 ## About the Role * 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. ## Description Lead the technical strategy and engineering of core MarTech data platforms, including Customer Data Platforms (CDP), Identity Resolution, Data Clean Rooms Customer Lake architectures, and AI-ready data products. This role is responsible for building the trusted, scalable, and privacy-first data foundations that enable modern marketing, performance marketing, personalization at scale, audience activation, customer intelligence, and GenAI-powered experiences. These capabilities power Marketing 360 (M360) and the next generation of intelligent, data-driven marketing solutions across Vanguard. 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Best X (Twitter) Accounts for Developers](https://www.wearedevelopers.com/magazine/294-the-best-x-twitter-accounts-for-developers) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence)