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Garan

Children's apparel manufacturer and brand owner

Data Engineer and Agentic AI Lead

Data EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA$150kIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field is required.
  • At least 7 years of experience in data engineering or related roles is required.
  • Hands-on experience with Microsoft Fabric or closely related tools such as Azure Synapse, Azure Data Factory, or Power BI is required.
  • Strong expertise in Medallion architecture and modern data lake or lakehouse patterns is required.
  • Proven experience building and maintaining data pipelines using ETL or ELT is required.
  • Proficiency in SQL, Python, and/or Spark is required.
  • Experience with Lakehouse architectures and distributed data processing is required.
  • A strong understanding of data modeling and data warehousing concepts is required.

Responsibilities

  • Design, develop, and maintain end-to-end data pipelines using Microsoft Fabric, including Data Factory, Pipelines, and Notebooks.
  • Implement and manage Medallion architecture (Bronze, Silver, and Gold layers) to ensure data quality, governance, and usability.
  • Ingest, transform, and integrate data from multiple structured and unstructured sources.
  • Optimize data workflows for performance, scalability, and cost efficiency.
  • Build and maintain Lakehouse and Data Warehouse solutions within Fabric.
  • Ensure data reliability through monitoring, logging, and error-handling mechanisms.
  • Collaborate with stakeholders to translate business requirements into scalable data solutions.
  • Enforce data governance, security, and compliance best practices.
  • Document data models, pipelines, and system architecture.
  • Contribute to roadmap planning and platform evolution.
  • Design enterprise-grade data models optimized for Power BI and analytics workloads.
  • Oversee creation and management of semantic models and datasets within Fabric.
  • Oversee dataset performance, refresh strategies, and capacity management in Power BI.
  • Implement data modeling best practices, including star schema and normalization where appropriate.
  • Support development of dashboards and reports by providing curated, high-quality datasets.
  • Manage access control, row-level security, and data lineage visibility.
  • Collaborate with BI developers to optimize DAX performance and reporting efficiency.
  • Monitor usage and adoption metrics to improve data accessibility and usability.
  • Prepare and structure data to support AI and machine-learning use cases within Microsoft Fabric and the Azure ecosystem.
  • Enable feature engineering by delivering clean, enriched, and well-governed datasets.
  • Support integration with Azure Machine Learning, Fabric Data Science, and Copilot experiences.
  • Implement data pipelines that support real-time or near-real-time analytics where needed.
  • Ensure datasets are scalable and aligned with AI model training requirements.
  • Promote best practices for data versioning, reproducibility, and experimentation.

Desired Qualifications

  • Experience with OneLake, Delta Lake, and Fabric-native workloads.
  • Experience with Data Agents, Copilot Studio, and Microsoft Foundry.
  • Familiarity with continuous integration and continuous delivery (CI/CD) pipelines for data solutions.
  • Experience driving Power BI adoption and user satisfaction across business units.
  • Experience delivering AI-ready datasets and agentic AI pilot outcomes.
  • Experience with security compliance and incident prevention.

About the Company

Garan

Children's apparel manufacturer and brand owner

Garan manufactures clothing for families worldwide and is known for its GARANIMALS line and other children’s brands like 365 Kids, Easy‑Peasy, Bliss, and ColorMix by Garanimals. It produces newborn through pre‑school sizes and ships more than 300 million garments a year through a global network of manufacturing, sourcing, and distribution owned and operated from offices in the United States, Central America, and Asia. The product process starts with designing and sourcing kid‑friendly fabrics and trims, then sewing and finishing garments, and finally distributing them through retailers and direct channels. What sets Garan apart is its long track record, scale, and ownership by Berkshire Hathaway, plus a diverse brand portfolio and a focus on quality and value, enabling reliable supply for families. The company’s goal is to provide high‑value, affordable children’s apparel while leading in kids’ fashion through trusted brands and broad distribution.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, New York
Founded
1957

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