Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,239 postings in the last year. Stated ranges, not salaries paid.
Technical Lead, Customer Data & Personalization Platforms
Charlotte, NC
Actively hiring, first seen by us 2 days ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- Work authorization
- Must already have the right to work
Vanguard is not offering visa sponsorship for this position
What you’ll work on
Full postingLead architecture, design, and delivery of scalable, secure customer data solutions
Set data governance, privacy, and security standards for customer and identity data
Drive engineering best practices across DataOps, CI/CD, testing, and observability
Coach and mentor engineers on architecture and engineering practices
Partner with Product, Marketing, and Analytics to turn business goals into technical solutions
From the employer’s posting
Lead the architecture, design, and delivery of scalable, secure, and governed data solutions
Establish and enforce data governance, privacy, security, and compliance standards
Drive engineering best practices across data architecture, DataOps, observability, CI/CD, testing, security, and platform operations.
Coach and mentor engineers and technical contributors
Partner closely with Product, Marketing, Analytics, AdTech, and Engineering teams to translate business objectives into durable, scalable technical solutions.
What you’ll bring
All qualificationsCore experience
- 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.
Preferred experience
- Experience working with Data Clean Rooms and privacy-safe data collaboration technologies preferred.
- Hands-on experience with Databricks, Delta Lake, Customer Lake CDP, Unity Catalog, and modern Lakehouse architectures preferred.
- Experience supporting AI/ML, customer intelligence, or next-generation marketing platforms preferred.
Qualification wording
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 working with Data Clean Rooms and privacy-safe data collaboration technologies preferred.
Hands-on experience with Databricks, Delta Lake, Customer Lake CDP, Unity Catalog, and modern Lakehouse architectures preferred.
Experience supporting AI/ML, customer intelligence, or next-generation marketing platforms preferred.
About Vanguard
From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 11, 20262 days ago
- Recorded sightings
- 3
- Last seen by us
- Nov 13, 2026
- Employer says posted
- Sep 9, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 2
Early. Similar jobs usually come down between day 6 and day 56.
From 13,630 similar postings that came down. Coming down is not always a hire.
Vanguard is hiring
36 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Databricks
- Delta Lake
- Kafka
- Spark
Where the posting names them
- 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 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.
- 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.
Your next step
Complete your application on vanguard.wd5.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Charlotte, NC
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.
- Work authorization
Special Factors Sponsorship Vanguard is not offering visa sponsorship for this position. About Vanguard