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technology&nbsp;</li></ul><p><strong>What you’ll do:</strong></p><p>The Enterprise Data &amp; Analytics organization has multiple product teams aligned to business domains.&nbsp; This individual will be a key contributor to the AI enablement team whose goal is to drive responsible adoption and deployment of AI capabilities and solutions at TJX. 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working diligently to address their needs which support TJX growth and operational stability.&nbsp; On this tightly knit and fast-paced team you will be constantly challenged to stretch and think outside the box.&nbsp; We are looking for someone who embraces the use of emerging technology to design, build, deploy, and govern AI solutions.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and deploy scalable, cloud-native data engineering solutions on Azure using Databricks, ADLS Gen2, and Snowflake.</li><li>Build and operationalize end-to-end data pipelines for batch and streaming workloads, enabling reliable ingestion, transformation, and consumption of structured and unstructured data.</li><li>Leverage Generative AI and LLM capabilities to enhance data engineering workflows, including data ingestion automation, schema inference, data quality validation, metadata enrichment, and analytics enablement.</li><li>Implement and manage modern data architectures such as 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