Lead Data Engineer - Azure Databricks Lakehouse

Role descriptionLead Data Engineer - Azure Databricks LakehouseAssociate Data Architect IWho We Are:Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.With us, you'll create a boundless impact that transforms your career-and the lives of people across the world.Visit us at .You Are:We are seeking a highly skilled Senior Data Engineer ( 8-12 years of exp ) to join our data platform team operating in an Azure + Databricks Lakehouse environment. The ideal candidate will have strong hands-on experience designing, building, and optimizing scalable data pipelines using Azure services, Databricks, and Spark.The opportunity: Design, develop, and maintain scalable data pipelines leveraging Azure Databricks and Spark (PySpark, Spark SQL). Build and orchestrate workflows using Azure Data Factory (ADF). Manage data storage and lifecycle using Azure Data Lake Storage (ADLS). Develop and maintain CI/CD pipelines using Azure DevOps, following standard SDLC practices across dev, test, and prod environments. Write and maintain PowerShell scripts for automation, deployments, and operational tasks. Develop and optimize SQL code across platforms including T-SQL and PostgreSQL. Work extensively with Parquet and Delta Lake formats to ensure efficient storage and processing. Optimize data pipelines for performance by analyzing Spark DAGs and identifying resource-intensive operations. Implement best practices around indexing, partitioning, and query optimization. Write idempotent, repeatable code that consistently produces the same end state, aligned with a custom SQL deployment framework. Participate in peer code reviews and contribute to continuous improvement of engineering standards.This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.What you need: Azure Cloud Platform Azure Data Factory (ADF) - orchestration Azure Data Lake Storage (ADLS) - storage Azure DevOps - CI/CD and source control Databricks & Spark Strong hands-on experience with Databricks compute and ETL Expertise in PySpark and Spark SQL Ability to analyze Spark execution plans and DAGs Scripting & Programming Strong proficiency in PowerShell Advanced SQL skills (T-SQL, PostgreSQL) Data Formats Proficiency with Parquet and Delta LakeCompensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.Role Location: RemoteCompensation Range: $106,000-$159,000BenefitsFull-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company's 401(k) Retirement Plan with employer matching. They and the

Created: 2026-01-27