Senior Data Engineer

OverviewLABUR is partnering with a client to hire a Senior Data Engineer with 8+ years of experience across modern data platforms including Databricks, Azure Data Factory, and Informatica (PowerCenter/IDMC). Life Sciences or regulated industry experience is strongly preferred, particularly given the frequent interaction with business users across the organization. The ideal person brings deep expertise in building out data lakes, data pipeline optimization, and AI-enabled data engineering practices, combined with the independence and communication skills to drive results autonomously.ResponsibilitiesDesign, develop, document, and maintain scalable data ingestion and transformation pipelines using Azure Data Factory, Databricks, and PySparkMonitor daily scheduled jobs, troubleshoot failures, and resolve data issues promptlyEnforce data governance, data quality standards, and coding best practices across all deliverablesCollaborate with business and technical stakeholders to translate requirements into scalable, production-ready solutionsIdentify and implement opportunities to optimize existing pipelines and data lake infrastructure by leveraging AIImplement and manage data catalog solutions using Unity Catalog to create reliable, discoverable data productsLead hands-on integration work in Informatica IDMC, including migrations from PowerCenter to IDMCLead data analysis and solution design efforts, aligning cross-functional stakeholders around a shared technical visionEmbed governance principles into every stage of the data delivery lifecycleQualifications8+ years of hands-on experience in data engineering, analytics engineering, or related disciplinesStrong proficiency with Databricks, including Delta Lake, PySpark, and Unity CatalogStrong experience with Informatica; hands-on IDMC implementation experience strongly preferredProficiency in SQL and PythonSolid experience with Azure Data Factory for pipeline orchestration and schedulingExperience in life sciences or other highly regulated industries strongly preferredDemonstrated ability to leverage AI to solve business problems and optimize the data lifecycleExcellent communication skills with the ability to explain technical issues to business stakeholders in clear, accessible terms, paired with a self-directed work style that thrives with minimal oversightDatabricks and Informatica certifications preferredCompensation$75-$80/hr - Dependent on fit and experience.