Hybrid Principal Data Engineer

Posted 4 hours ago

Apply now

About the role

  • 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.)

Benefits

  • Flexible work arrangements

Job title

Principal Data Engineer

Job type

Experience level

Lead

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

Report this job

See something inaccurate? Let us know and we'll update the listing.

Report job