Tory Burch Principal Engineer, Data and Services

Tory Burch; Jersey City (NJ); Presencial; USD 95.000 - 135.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Employee discount

Executive coaching

Volunteer days

Wellness benefits

Descripción de la vacante

Tory Burch in Jersey City, NJ is seeking a hands-on data and service engineer to design modern, scalable data ecosystems and real-time pipelines. You will collaborate with digital, retail and analytics teams to align technical solutions with business goals.

The role focuses on building secure data platforms, modernizing legacy systems, and delivering AI-enabled services that power insights and actions across the organization. Relevant cloud and SQL skills are essential.

Formación

• Experience building real-time data pipelines in cloud environments.
• Ability to design scalable data architectures.
• Collaborate with product, analytics and engineering teams.

Responsabilidades

• Architect and build near real-time data pipelines using GCP and SQL Server.
• Modernize legacy data systems and create AI-enabled services.
• Collaborate with cross-functional teams to align technical solutions with business goals.

Conocimientos

Data engineering

Real-time pipelines

GCP

SQL

Cross-functional collaboration

Herramientas

BigQuery

Pub/Sub

Dataflow

SQL Server

Descripción del empleo

We are an American luxury lifestyle brand, founded in 2004. Anchored in the casual elegance of American sportswear, Tory's design philosophy is defined by effortless silhouettes, innovative materials, eclectic juxtapositions of color, and the tension of past and present. The collections include ready-to-wear, handbags, footwear, accessories, jewelry, home and beauty.

Empowering women is the company's guiding principle, expressed through Tory's collections and reflected in the company culture as well as the work of the Tory Burch Foundation. Established in 2009, the Foundation provides women entrepreneurs in the United States with access to capital, education and community.

You are seeking a work environment where people are encouraged to dream, explore, discover and, as important, laugh together. If you're prepared to work hard, create impact, and have fun while doing it, we would love to have you join #TeamTory.

Life @ToryBurch is Special Because:

When you join us, you're joining a global, purpose-led company on an exciting growth journey with an amazing culture and great benefits.

• Our culture is welcoming and inclusive -- everyone is empowered to make a difference.
• We have the best team in the world and believe in paying competitively and rewarding for high performance.
• Your overall well-being is important to us; we offer generous benefits to help you take care of your mental and physical health, create financial security, and achieve wellness in all areas of your life.
• We love seeing our employees wear our beautiful collections. You'll receive a generous employee discount and access to exclusive sample sales.
• We are invested in your professional growth - you'll have access to free executive coaching on-demand.
• We believe in the importance of giving back and you'll have many opportunities to do just that through the Tory Burch Foundation and paid volunteer days.

This Role is Tailor-Made for You Because:

You're a hands-on data and service engineer with deep expertise in building modern, scalable, and secure data ecosystems. You thrive on architecting real-time data pipelines, modernizing legacy systems, and building AI-integrated services that empower digital, retail, and analytics teams. You enjoy collaborating with cross-functional teams and aligning technical solutions with business outcomes. You're passionate about solving complex data challenges, and your curiosity keeps you at the forefront of new technologies.

A Day in the Life:

The typical day is... typical. Your Key Responsibilities may include.

1. Data Architecture & Engineering

• Architect and build robust, near real-time data pipelines using GCP (BigQuery, Pub/Sub, Dataflow), SQL Server, and other scalable