Principal Engineer, Data and Services

Tory Burch•Jersey City, NJ

About The Position

We are seeking a hands-on data and service engineer with deep expertise in building modern, scalable, and secure data ecosystems. This role involves architecting real-time data pipelines, modernizing legacy systems, and building AI-integrated services that empower digital, retail, and analytics teams. The ideal candidate enjoys collaborating with cross-functional teams, aligning technical solutions with business outcomes, and is passionate about solving complex data challenges with a curiosity for new technologies.

Requirements

  • 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.
  • 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.
  • Experience in data modernization projects and migrating legacy data systems is must.
  • Excellent problem-solving, analytical, and stakeholder management skills.

Nice To Haves

  • Exposure to AI and ML integrations in production environments is a strong plus.
  • Exposure to AI-driven data solutions is a plus.

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

Benefits

  • Competitive pay and rewards for high performance.
  • 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.
  • Generous employee discount and access to exclusive sample sales.
  • Free executive coaching on-demand.
  • Opportunities to give back through the Tory Burch Foundation and paid volunteer days.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service