Principal Data Engineer at UiPath leading cross-functional data initiatives. Own and evolve the architecture of our modern data platform using Microsoft Fabric in a Hybrid work environment.
Responsibilities
Own and evolve the architecture of our modern data platform (Fabric-based lakehouse environment)
Lead complex, cross-functional data initiatives end-to-end with minimal oversight
Define and enforce engineering standards, modeling best practices, and performance optimization
Design and optimize scalable ELT pipelines and dimensional data models
Drive platform reliability, governance, and cost-performance balance
Evaluate and introduce new tools and architectural improvements
Act as a technical leader and mentor within the data organization
Partner with Finance, Sales, and other stakeholders to translate business strategy into scalable data solutions
Requirements
7+ years of experience in data engineering / data platform roles
Expert-level SQL skills (mandatory)
Good working knowledge of Python and/or PySpark
Proven experience designing and operating modern cloud-based data platforms (e.g., Fabric, Databricks, Snowflake, Synapse, Redshift, BigQuery, etc.)
Strong understanding of lakehouse architecture and ELT patterns
Experience building scalable dimensional models and enterprise-grade data solutions
Experience integrating complex enterprise systems (ERP, CRM, HRIS, etc.)
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