Senior Data Integration Engineer - Planning Solutions

Job description

Who We Are: Since 1906, New Balance has empowered people through sport and craftsmanship to create positive change in communities around the world. We innovate fearlessly, guided by our core values and driven by the belief that conventions were meant to be challenged. We foster a culture in which every associate feels welcomed and respected, where leaders and creatives are inspired to shape the world of tomorrow by taking bold action today. We are seeking a Senior Data Integration Engineer to support the design, development, and delivery of enterprise-scale data integration solutions for supply chain planning platforms such as o9 . This role will focus on building reliable, governed, and reusable data pipelines that enable supply chain planning, enterprise data engineering, AI/ML initiatives, and APS-ready data delivery. Major Accountabilities Design, build, and maintain scalable data integration pipelines for o9 and related planning platforms. Support integration of supply chain, manufacturing, ERP, and planning data into APS-ready data models. Develop reusable data engineering assets, integration frameworks, and governed data delivery patterns. Work with cloud platforms, APIs, PySpark, Delta Lake, and data engineering tools to enable reliable and secure data flows. Support end-to-end implementation activities, including design, development, testing, deployment, and production support. Partner with business, functional, and technical stakeholders to translate data requirements into integration designs and technical specifications Collaborate with cross-functional technical teams to ensure project timelines, milestones, and quality standards are met. Requirements for Success 5+ years of experience in data engineering, data integration, or enterprise data delivery. Experience integrating data for Advanced Planning Systems, preferably o9, or similar supply chain planning platforms. (Blue Yonder) Experience supporting supply chain, manufacturing, ERP, or planning data initiatives. Hands-on experience with data integration, data engineering, or ETL tools. Working knowledge of cloud platforms such as Azure or AWS. Experience with APIs, data pipelines, and modern integration architecture patterns. Strong analytical, problem-solving, communication, and documentation skills. Ability to work collaboratively in a consulting or client-facing delivery environment. Preferred Qualifications Experience with the o9 INT3.0 framework powered by PySpark and Delta Lake. Experience with Snowflake or other modern cloud data platforms. Exposure to Generative AI, Agentic AI, or AI-enabled data engineering solutions. Experience working with consulting organizations or global delivery teams. Flexible Work Schedule For decades we have fostered a unique culture founded on our values with a particular focus on in-person teamwork and collaboration. Our hybrid model encourages rich in-person experiences, showcasing our commitment to teamwork and connection, while providing high levels of flexibility to associates. North American office-based associates are expected to come into the office on Wednesdays, with other occasional in-office days for in-person meetings and events as needed. Our offices are fully open and amenities are available across our North American office locations. Equal Opportunity Employer New Balance provides equal opportunities for all current and prospective associates and takes affirmative action to ensure that employment, training, compensation, transfer, promotion and other terms, conditions and privileges of employment are provided without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, handicap, genetic information and/or status as an Armed Forces service medal veteran, recently separated veteran, qualified disabled veteran or other protected veteran.