Data Engineering Technical Lead

Provides expert level data solutions by using software to process, store, and serve data to others. Tests data quality and optimizes data availability. Ensures that data pipelines are scalable, repeatable, and secure. Utilizes the deepest dive analytical skillset on a variety of internal and external data. Leads, instructs, and mentors newer Data Engineering crew.

Core Responsibilities

1. Writes ETL (Extract / Transform / Load) processes, designs database systems and, develops tools for real-time and offline analytic processing.

2. Troubleshoots software and processes for data consistency and integrity. Integrates complex and large scale data from a variety of sources for business partners to generate insight and make decisions.

3. Translates business specifications into design specifications and code. Responsible for writing complex programs, ad hoc queries, and reports. Ensures that all code is well structured, includes sufficient documentation, and is easy to maintain and reuse.

4. Partners with internal clients to gain an expert understanding of business functions and informational needs. Works closely with other technical and data analytics experts across the business to implement data solutions.

5. Leads all phases of solution development. Explains technical considerations at related meetings, including those with internal clients and less experienced team members.

6. Assesses data quality and tests code thoroughly for accuracy of intended purpose. Provides data analysis guidance and serves as a technical consultant for the client.

7. Educates and develops junior data engineers on the team while applying quality control to their work. Develops data engineering standards and contributes expertise to other data expert teams across Vanguard.

8. Tests and implements new software releases through regression testing. Identifies issues and engages with vendors to resolve and elevate software into production.

9. Participates in special projects and performs other duties as assigned.

Qualifications

• Data analytics, programming, database administration, or data management experience.
• Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.

Why Vanguard?

Vanguard is a different kind of investment company. It was founded in the United States in 1975 on a simple but revolutionary idea: that an investment company should manage its funds solely in the interests of its clients.

This is a philosophy that has helped millions of people around the world to achieve their goals with low-cost, uncomplicated investments.

It's what we stand for: value to investors.

Inclusion Statement 

Vanguard’s continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement: “Do the right thing.” 

We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard’s core purpose through our values. 

When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard's core purpose: to take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.

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.