Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Data Engineer and Agentic AI Lead role.
Rezi rewrites your resume against Garan, Incorporated's job description. Free.
Tailor your resume to this Data Engineer and Agentic AI Lead role.
Rezi rewrites your resume against Garan, Incorporated's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Data Engineer and Agentic AI Lead posting at Garan, Incorporated — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Data Engineer and Agentic AI Lead posting at Garan, Incorporated — free, in seconds.
About the Role
We are seeking a Microsoft Fabric Data Engineer with Agentic AI experience to design, build, and maintain scalable data solutions within the Microsoft Fabric ecosystem. This role is responsible for developing robust data pipelines, implementing Medallion architecture, and ensuring high-quality, analytics-ready datasets. The ideal candidate will have hands-on experience with Microsoft Fabric components and strong data engineering fundamentals to support advanced analytics and AI initiatives.
Responsibilities
- Design, develop, and maintain end-to-end data pipelines using Microsoft Fabric (Data Factory, Pipelines, Notebooks)
- Implement and manage Medallion architecture (Bronze, Silver, 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 (star schema, normalization where appropriate)
- Support development of dashboards and reports by providing curated, high-quality datasets
- Manage access control, row-level security (RLS), and data lineage visibility
- Manage Power BI capacity, dataset refresh strategies, and scalability considerations
- 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/ML use cases within Microsoft Fabric and Azure ecosystem
- Enable feature engineering by delivering clean, enriched, and well-governed datasets
- Support integration with AI tools such as 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
Requirements
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field
- 7+ years of experience in data engineering or related roles
- Hands-on experience with Microsoft Fabric or closely related tools (Azure Synapse, Azure Data Factory, Power BI)
- Strong expertise in Medallion architecture and modern data lake/lakehouse patterns
- Proven experience building and maintaining data pipelines (ETL/ELT)
- Proficiency in SQL, Python, and/or Spark
- Experience with Lakehouse architectures and distributed data processing
- Strong understanding of data modeling and data warehousing concepts
- Strong problem-solving and analytical thinking
- Attention to detail and data quality focus
- Ability to work cross-functionally with technical and business teams
- Excellent communication and documentation skills
- Continuous learning mindset in evolving data and AI technologies
Skills
- Microsoft Fabric
- Agentic AI
- Data Pipelines
- Medallion Architecture
- Data Factory
- OneLake
- Lakehouse
- Data Warehouse
- Power BI
- SQL
- Python
- Spark
- ETL/ELT
- Data Modeling
- Data Warehousing
- Delta Lake
- Fabric-native workloads
- Data Agents
- Copilot Studio
- Microsoft Foundry
- CI/CD pipelines
- DAX performance
- Azure Machine Learning
- Fabric Data Science
- Copilot experiences
- Real-time analytics
- Data versioning
- Reproducibility
- Experimentation
Location
- Remote
Work Type
- Full-time
Experience Level
- 7+ years
Education Level
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field
Salary/Compensations
- $150,000
About the Company
- This role is essential for Garan Apparel's enterprise data transformation, integrating Azure and Microsoft Fabric with best practices in data, security, AI readiness, and team collaboration—while ensuring that every user, from executive to analyst, can understand, trust, and act on data with confidence.