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Sr. Data Engineer

Tory Burch
New York, New York, United States
Closing date
6 Apr 2023

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Senior Manager

Job Details

We are an American luxury brand known for beautiful, timeless pieces and rich storytelling that evokes optimism and joy. Tory is a fashion designer who draws inspiration from her parents' effortless style, the worlds of travel, art and interiors, and women globally. The collections include ready-to-wear, handbags, footwear, accessories, jewelry, home and beauty. Empowering women is the company's guiding principle, underpinning the design philosophy and company culture, and driving the work of the Tory Burch Foundation.

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. Apply today!

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 are an agile-minded team, nimble enough to move quickly and innovate faster than our larger competitors, and mature enough to outperform start-ups. We are building massively scalable solutions at an enterprise level.
As a Senior Data Engineer, you will build end-to-end analytical solutions that are highly scalable, performant, secure, and resilient. You rely on sound judgement, critical thinking, and creativity to deliver customer focused data solutions that create meaningful business impact. You are experienced with various patterns of data ingestion, processing, and curation. You understand criticality of data quality, security & governance practices and are adept at it. You design solutions with strategic and long-term focus on code quality, reliability, reusability, maintainability and data ops. You are experienced in building efficient and scalable data services.
The ideal candidate for this position would be a passionate pioneer in technology, a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and shares new ideas with his/her colleagues to help design, plan, and implement the future of cloud data technologies and databases for production workloads that supports all different aspects of a global retail business such as e-commerce, store commerce, merchandizing & supply chain
A sense of humor is a plus!

A Day in the Life:

The typical day is... atypical. You might be designing, implementing and leading efforts to optimize data & analytics platforms to ensure data security, integrity, performance and availability. You will be using deep hands on experience, work with product engineering teams to architect the future of Tory Burch data and analytics platform strategy. Additionally, you may be using expert data modeling experience to recommend how data should be structure to make it accessible, performant and resilient to change. The consistent thread is that you'll be working with an amazing team of women and men who share your passion for excellence.

To Land This Role:
  • 5-7 years of experience in designing and building data solutions and platforms
  • Should have more than 4 years of cloud experience with at least 3 years on architecting and building data lakes /data warehouses / data pipelines / AI & ML solutions
  • Enterprise experience with GCP services like storage & database, data processing and Big Query, Cloud SQL
  • Experience in Bigtable, Pub/Sub, Cloud Composer, Dataflow, Data proc, Data prep, Data Studio, Bigtable, Cloud Storage, file store, Cloud VM, Composer, App engine, GKE or similar cloud experience
  • Strong knowledge about Cloud technologies such as GCP, AWS, Azure (at least with one - GCP is proffered)
  • Experience with batch and stream processing (including GCP Dataflow/Kafka Streams/Spark)
  • Programming experience in Python, Java, Scala (at least one of these)
  • Experience with microservice patterns, API development, RESTful web services
  • Experience with containerization technologies (Docker, Kubernetes)
  • Experience in building CI/CD pipeline and automating deployment process
  • Familiarity or experience with data mining and statistical modeling (e.g., regression modeling, clustering techniques, decision trees, etc.)
  • Exposure to Network services like Cloud CDN / DNS / IDS / NAT / Interconnect / VPN / VPC etc.
  • Familiarity or experience with data mining and statistical modeling (e.g., regression modeling, clustering techniques, decision trees, etc.)

Why You'll Want to Join Our Team:
Our Data & Services team plays a pivotal role at Tory Burch where mastering and leveraging our data is a key strategic priority. Our focus is on designing, developing and maintaining applications and services that generate insights and actions to drive omnichannel experiences and fuel growth. We bring technical expertise to solving the business needs effectively and efficiently, while ensuring reliability and scalability for the future. Come join us!

How We Work Together
  • Adaptable - We change before we have to
  • Entrepreneurial - We own it
  • Collaborative - There's no "I" in Tory
  • Client & Brand Focused - We put ourselves in Tory's shoes
  • Live the Values - We show up for each other
  • Functional Expertise - We're constantly learning and growing

#TeamTory Values

We show up with honesty & kindness, act with integrity & compassion, work with passion & humility and lead with excellence & humor.

Compensation Range
The compensation range for this position is 145,000.00 USD - 165,000.00 USD. Our offer will be based on your relevant experience and work location.

Benefits Information

We offer a generous set of benefits to help you take care of your heath, create financial security, and achieve wellness in all areas of your life. Here are highlights of key benefits available to all Tory Burch members that work over 30 hours.

Equal Employment Opportunity Statement

Tory Burch LLC is an Equal Employment Opportunity employer and provides equal opportunities to all employees and applicants without regard to an individual's age, race, creed, color, religion, national origin, sex (including pregnancy) or sexual orientation, gender expression, military status, marital status, genetic predisposition or carrier status, disability or membership in any other protected class under applicable law. Likewise, we will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.

Disability Accommodation

Tory Burch is committed to providing reasonable accommodations to applicants and employees with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require assistance or an accommodation with the hiring process, please contact .


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