24 hours ago
Charlotte, NC, USAStaff+
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.
- Lead architecture, design, implementation, testing, deployment, and optimization of scalable, secure, governed data solutions.
- Drive engineering practices across data architecture, DataOps, observability, CI/CD, testing, security, and platform operations.
- Design and operate batch and streaming data pipelines, APIs, and data services for consumer, analytics, and activation use cases.
- Establish data governance, privacy, security, compliance, metadata, and regulatory standards for customer and identity data.
- Evaluate emerging technologies and develop roadmaps for marketing, customer intelligence, personalization, and activation strategies.
- Coach and mentor engineers and technical contributors and provide technical oversight across cross-functional teams.
- Communicate platform strategy, technical direction, risks, and recommendations to technical and business stakeholders.
- Drive automation, operational metrics, continuous improvement, and platform optimization initiatives.
Requirements
- At least 8 years of experience in software engineering, data engineering, or data platform development, including at least 3 years in a technical leadership role.
- Strong experience designing, building, and operating large-scale data platforms, data products, and distributed data processing solutions.
- Experience with MarTech and AdTech platforms, audience activation, campaign orchestration, measurement, personalization, and customer journey analytics.
- Experience with identity resolution, customer profile management, audience segmentation, consent management, customer intelligence platforms, and data clean rooms.
- Hands-on experience with cloud-native data platforms, preferably AWS.
- Deep expertise with Python, SQL, Spark, Kafka, Databricks, Delta Lake, Customer Lake CDP, Unity Catalog, and modern data processing frameworks.
- Experience with scalable batch and streaming pipelines, performance optimization, reliability, observability, and data quality.
- Experience designing APIs and data services and applying data governance, metadata management, privacy, security, and regulatory practices.
- Experience with GenAI, agentic AI, MCP, AI/ML, customer intelligence, or next-generation marketing platforms is preferred.
- Strong understanding of DataOps, CI/CD, Infrastructure as Code, automated testing, monitoring, and operational excellence practices.
- Proven ability to influence architecture decisions, collaborate across Product, Engineering, Marketing, Analytics, and business teams, and mentor engineers.
Benefits
- Hybrid working model designed to support flexibility, in-person learning, collaboration, and connection.
Tech Stack
Categories
Data Engineering
About Vanguard
Vanguard is an investment management company offering low-cost index and active mutual funds, ETFs, brokerage, retirement plans, and financial advice for individual, institutional, and advisor clients. Founded in 1975 by John C. Bogle and headquartered in Valley Forge, PA, it operates a client-owned structure in which its funds own the firm. Its business model centers on asset-based management and advisory fees.