Lead Data Engineer Data Modernization (Onsite Dallas, TX) We are looking for a Lead Data Engineer to drive the migration of data, ETL pipelines, and legacy code as part of a large-scale Data Modernization program in the Mortgage Banking domain. This is a hands-on leadership role based onsite in Dallas, TX . Key Responsibilities: Lead the design, development, and migration of data pipelines from legacy platforms (e.g., SQL Server, Talend, DataStage ) to modern stacks (e.g., Snowflake, DBT, Fivetran ) Collaborate with Architects and Modelers to align engineering efforts with target state architecture and semantic models Refactor and optimize legacy ETL jobs into scalable, cloud-native data pipelines Ensure data quality, lineage, and governance practices are embedded throughout the migration Mentor junior engineers and coordinate efforts across global delivery teams Required Qualifications: 8+ years of experience in data engineering , with a strong focus on data platform modernization Proven experience migrating data, ETL pipelines, and transformation logic from legacy platforms to modern cloud data platforms Hands-on expertise with tools such as Snowflake, DBT, Fivetran , and legacy stacks like SQL Server, Talend, DataStage Familiarity with GCP and experience working in regulated industries like financial services or mortgage banking is a plus Strong collaboration, problem-solving, and communication skills Location: Must be available to work onsite in Dallas, TX #J-18808-Ljbffr