Senior Data Engineer

Paul Hastings is a leading international law firm that provides innovative legal solutions to many of the world's top financial institutions and Fortune Global 500 companies. With a strong presence throughout the U.S., Asia, Europe, Latin America, and the Middle East, we have the global reach and extensive capabilities to provide personalized service wherever our clients’ needs take us. As one of the world’s leading law firms, we seek dynamic individuals who share our commitment to service, innovation, and professional growth. Job Title Senior Data Engineer Location Atlanta, Boston, Charlotte, Chicago, Dallas, Houston, Los Angeles, New York Regular/Temporary Regular Job Description Summary We have an opening for a Senior Data Engineer. The Senior Data Engineer is responsible for designing, building and maintaining modern data pipelines and data integration solutions in the Azure Cloud. This role enables enterprise analytics by delivering clean, timely and well-structured data to platforms such as Power BI. The Senior Data Engineer collaborates closely with architects, analysts and business stakeholders to deliver scalable, secure and efficient data solutions using Azure Data Factory, Azure Data Lake Storage (ADLS), Databricks, and Azure DevOps. Job Description In this capacity, the Senior Data Engineer will: Design, build and manage scalable data pipelines using Azure Data Factory (ADF), Azure Data Lake Storage (ADLS) and Azure Databricks; Develop ELT frameworks for ingesting and transforming structured and semi-structured data from on-prem and cloud sources; Implement robust DevOps pipelines for code versioning, testing, deployment and monitoring using Azure DevOps; Ensure pipeline performance, reliability and observability using tools like Azure Monitor and Log Analytics; Collaborate with BI teams to support Power BI datasets and ensure optimal data model performance; Automate environment setup, configuration and permissions using infrastructure-as-code where possible; Write modular, testable code in Python or PySpark and manage version control with Git; Support production operations, root cause analysis and performance tuning; Maintain technical documentation for pipelines, data mappings and deployment processes; Work as part of an Agile delivery team, participating in sprints, retrospectives and code review; and Mentor junior data engineers and promote best practices in CI/CD, version control, and release management. Proficiencies: Advanced proficiency in Azure Data Factory, Azure Data Lake Storage (Gen2) and Azure Databricks; Experience building and managing CI/CD pipelines in Azure DevOps for data solutions; Strong SQL and ELT experience; familiarity with schema design (e.g., star, snowflake, denormalized); Hands-on expertise with PySpark and Databricks notebooks, including Delta Lake workflows; Familiarity with Git, branching strategies and repository management within Azure Repos; Understanding of data security and privacy best practices