Principal Engineer, Data and Services

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. 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’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 technologies. Lead efforts in modernizing legacy data systems to cloud-native platforms. Ensure optimal performance, availability, and security of data infrastructure. Develop data models and data processing frameworks that support analytics, AI, and operational use cases. 2. AI & Advanced Analytics Integrations Enable AI/ML-powered data products through feature engineering and real-time data flows. Partner with data analytics and product teams to integrate intelligent solutions into production environments. Evaluate and adopt GenAI/ML APIs to enhance services and customer experience. 3. Data Governance & Compliance Contribute to the development of robust data governance practices including lineage tracking, cataloging, and quality monitoring. Support secure data practices aligned with privacy regulations (GDPR, CCPA, etc.). Implement frameworks for data stewardship, access control, and auditing. 4. APIs, Microservices & Automation Design and develop high-performing APIs and microservices for data access and integrations. Drive automation of data workflows using Python and orchestration tools. Build CI/CD pipelines to enable faster and safer deployment of data services. 5. Cross-Functional Collaboration Work closely with Product Managers, Analysts, and Engineering partners to translate business needs into scalable technical solutions. Act as a domain expert in technical discussions across digital, retail, and analytics platforms. 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: 10+ years in software/data engineering, with extensive hands-on experience designing large-scale data platforms. Proven success in data modernization, real-time data architecture, and cloud migration. Deep knowledge of GCP (BigQuery, Pub/Sub, Dataflow), SQL Server, and modern ETL/ELT patterns. Strong experience in data governance, lineage, and compliance frameworks. Skilled in API development, microservices architecture, and event-driven systems. Proficiency in Python, SQL, CI/CD, and scripting for workflow automation. Exposure to AI and ML integrations in production environments is a strong plus. Excellent communicator and collaborator with a mindset of continuous learning. Strong knowledge of data security, compliance, and governance best practices. Experience in API development, microservices, and service integrations. Exposure to AI-driven data solutions is a plus. Experience in data modernization projects and migrating legacy data systems is must. Excellent problem-solving, analytical, and stakeholder management skills. Why You'll Want to Join Our Team: Our Technology team has a clear mission: use technology to enable the business to operate efficiently while driving growth and profitability. We envision, we strategize, we engineer, we design, we build, we test, we support, and we serve. Our tools and systems impact every customer and every member of our team every day and our role is to make each engagement seamless and rewarding. As we build our in-house engineering teams, we are focused on further modernizing our platforms, leveraging our data analytics capabilities and cre