Find & Apply For Computer Systems Engineer / Architect Jobs in New Brunswick, New Jersey

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Job Function:

Technology Product & Platform Management Job Sub Function:

Technical Product Management Job Category:

Scientific/Technology All Job Posting Locations:

New Brunswick, New Jersey, United States of America Job Description:

Position Summary We are searching for the best talent for a Data Product Lead to be located in New Brunswick, NJ and São José dos Campos. Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s): New Brunswick, NJ and São José dos Campos, Brazil. São José dos Campos, Brazil -

Requisition Number:

R-095121

Remember, whether you apply to one or all of these requisition numbers, your applications will be considered as a single submission. The IT Lead - Technical Product Owner, Data Enablement is an experienced individual contributor responsible for building, operating, and continuously improving core data platform and data quality capabilities used across Corporate Business Technology (CBT). This role supports enterprise analytics, reporting, and AI use cases by helping ensure data platforms are reliable, secure, cost‑aware, and easy to use. The role works closely with business stakeholders, engineering teams, platform partners, and governance leaders to enable teams to produce high‑quality data products with confidence. This position focuses on hands‑on delivery, platform reliability, and practical enablement. Success is measured by platform adoption, consistency of standards, and improved trust in data. Key Responsibilities Data Platform Enablement

• Support the technical ownership and day‑to‑day operation of enterprise data platforms, including the Databricks Intelligence Platform.
• Implement and maintain platform standards, patterns, and reusable components for data ingestion, transformation, and consumption.
• Apply and support medallion (Bronze, Silver, Gold) patterns, including guidance for schema design, performance, .

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