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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Engineer, Data and Services - **Company:** Tory Burch - **Location:** Jersey City, NJ, United States - **Experience:** Expert - **Salary:** $175,000.0 - $220,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Big Data, BigQuery, Continuous Integration, Data as a Services, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Transformation, Data Security, Data Systems, Data Flow Control, Python (Programming Language), Microsoft SQL Server, SQL Databases, Systems Integration, Scripting, Cloud Platform System, Feature Engineering, Event Driven Architecture, Data Lineage, Data Analytics, Integration Frameworks, Real Time Data, Data Management, Api Design, Data Pipelines, Legacy Systems, Microservices - **Published:** September 25, 2026 - **Apply:** https://www.careerjet.com/job/us3b9492b41128bdc3efa20b055aed4369/eaa ## About the 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. ## Description 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [JavaScript? No. Java Scripts! - Scripting with Java](https://www.wearedevelopers.com/videos/2094-javascript-no-java-scripts-scripting-with-java) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Making Data Warehouses fast. 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