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 bankingis a plus
· Strong collaboration, problem-solving, and communication skills
Location: Must be available to work onsite in Dallas, TX