Sr. Data Platform Engineer

About Us: Loloi Rugs is a leading textile brand that designs and crafts rugs, pillows, and throws for the thoughtfully layered home. Family-owned and led since 2004, Loloi is growing more quickly than ever. To date, we’ve expanded our diverse team to hundreds of employees, invested in multiple distribution facilities, introduced thousands of products, and earned the respect and business of retailers and designers worldwide. A testament to our products and our team, Loloi has earned the ARTS Award for “Best Rug Manufacturer” in 2010, 2011, 2015, 2016, 2018, 2023, and 2025. Security Advisory: Beware of Frauds Protect yourself from potential fraud and verify the authenticity of any job offer you receive from Loloi. Rest assured that we never request payment or demand any sensitive personal information, such as bank details or social security numbers, at any stage of the recruiting process. To ensure genuine communication, our recruiters will solely reach out to applicants using an @loloirugs.com email address. Your security is of paramount importance to us at Loloi, and we are committed to maintaining a safe and trustworthy hiring experience for all candidates. We are building the data backbone across Loloi Rugs and Joon Loloi. You won’t just move data; you’ll architect a Lakehouse environment using Microsoft Fabric to power our next generation of Analytics & AI. As a Senior Data Platform Engineer, you will serve as a cornerstone of our small but high-impact data organization. Reporting to the Director of Data Platform Engineering, you will play a dual role: acting as a hands-on technical expert within the Azure cloud-native data ecosystem while also enabling analytics, reporting, and AI/ML initiatives across the business. You will bridge the gap between raw data ingestion and business-ready intelligence by building reliable, scalable, and governed data foundations. If you thrive in modern data platforms, enjoy solving complex architectural challenges, and take pride in production-grade engineering, this role is for you. Responsibilities Technical Execution
Enterprise Fabric Management: 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.
Pipeline Engineering: 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.
Medallion Architecture: Refine, scale, and enforce Medallion Architecture patterns (Bronze, Silver, Gold) to ensure data quality, lineage, and performance at every stage of the data lifecycle.
Semantic Layer Ownership: Design and maintain high-performance Fabric Semantic Models that translate complex data structures into intuitive, analytics-ready business layers. Leadership & Operations
Production Reliability: 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.
Platform Standards: Partner with the Director of Data Platform Engineering to define architectural patterns, tooling standards, and operational processes that scale with the organization.
DevOps & Governance: 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. Stakeholder Collaboration
Cross-Functional Enablement: Collaborate closely with analytics, reporting, and AI/ML teams to ensure data products meet downstream requirements for Ecommerce, ERP, and Operations (etc.) use cases.
Technical Communication: Translate technical architecture and platform decisions into clear, accessible documentation and explanations for non-technical stakeholders. Experience, Skills, & Ability Requirements
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. What We Offer
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 Loloi Rugs does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. We seek a diverse pool of applicants and consider all qualified candidates regardless of race, ancestry, color, gender identity or expression, sexual orientation, religion, national origin, citizenship, disability, Veteran status, marital status, or any other protected status. If you have a special need or disability that requires accommodation, please let us know.