Loloi Rugs · 7 hours ago
Sr. Data Platform Engineer
Loloi Rugs is a leading textile brand that designs and crafts rugs, pillows, and throws for the thoughtfully layered home. As a Senior Data Platform Engineer, you will architect a Lakehouse environment using Microsoft Fabric and serve as a cornerstone in the data organization, enabling analytics and AI/ML initiatives across the business.
Wholesale
Responsibilities
Lead the implementation, optimization, and operation of Microsoft Fabric artifacts, including Lakehouses, Warehouses, and Notebooks, within a production environment. Ensure performance, scalability, and cost efficiency across capacities and OneLake
Design, build, and monitor end-to-end ELT/ETL workflows using Azure Data Factory and Fabric Data Factory. Integrate new data sources reliably while maintaining data quality, observability, and fault tolerance
Refine, scale, and enforce Medallion Architecture patterns (Bronze, Silver, Gold) to ensure data quality, lineage, and performance at every stage of the data lifecycle
Design and maintain high-performance Fabric Semantic Models that translate complex data structures into intuitive, analytics-ready business layers
Serve as a primary steward of the production data environment. Proactively monitor system health, resolve incidents, and optimize SQL and Spark workloads to ensure platform stability and performance
Partner with the Director of Data Platform Engineering to define architectural patterns, tooling standards, and operational processes that scale with the organization
Drive engineering excellence through Azure DevOps by managing CI/CD pipelines, Git-based source control, and automated testing for data products. Adhere to development standards and deployment best practices
Collaborate closely with analytics, reporting, and AI/ML teams to ensure data products meet downstream requirements for Ecommerce, ERP, and Operations (etc.) use cases
Translate technical architecture and platform decisions into clear, accessible documentation and explanations for non-technical stakeholders
Qualification
Required
5–7 years of experience in Data Engineering with a primary focus on the Azure ecosystem
Deep expertise in Azure-native tools, including Azure Data Factory (ADF), ADLS Gen2, Microsoft Fabric, Synapse, and Azure SQL
Strong SQL skills and proficiency in Python, including PySpark, for data transformation and optimization
Hands-on experience with Microsoft Fabric in a production environment, including OneLake concepts and capacity management
Strong understanding of data modeling concepts, including Star Schema design and semantic layer development using DAX
Experience using Azure DevOps for CI/CD, version control, and engineering workflow management
Excellent communication skills with the ability to explain complex technical concepts clearly and concisely
Experience supporting AI/ML initiatives by building feature-ready datasets or managing infrastructure for experimentation and deployment
Advanced proficiency in data modeling for analytics-ready and reporting-friendly datasets
Familiarity with data requirements for predictive modeling or advanced statistical analysis
Microsoft Certified: Azure Data Engineer Associate or Fabric Analytics Engineer Associate
Benefits
Health, dental, and vision benefits
Paid parental leave
401(k) with employer match
A culture of meritocracy that fosters ongoing growth opportunities
A stable, growing family-owned company that looks after its employees
Company
Loloi Rugs
Loloi Rugs is a leading textile brand that designs and crafts rugs, pillows, and throws for the thoughtfully layered home.
H1B Sponsorship
Loloi Rugs has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (2)
Funding
Current Stage
Growth StageRecent News
Home Textiles Today
2025-09-17
2025-04-09
Company data provided by crunchbase