Data Engineer – Marketing Data & Analytics
Core
Design, build, and operate batch and incremental data pipelines on Databricks to create governed, certified datasets for Enterprise Marketing reporting, self-service analytics, and data science.
Role type
Senior Data Engineer (Marketing Data & Analytics)
Builds
Certified Delta tables in Unity Catalog powering marketing reporting and analytics
Domain
Financial services / Marketing Data & Analytics
Required skills
Databricks Certified Data Engineer Associate or Professional, PySpark, SQL (window functions, merge patterns), Delta Lake, Unity Catalog, Databricks Workflows, API integration, Python (pandas), data quality checks, performance tuning, CI/CD, documentation
Preferred skills
Salesforce/MC experience, dimensional modeling, semantic layers, entity matching, regulated industry experience
Technologies
Databricks, Delta Lake, Unity Catalog, PySpark, SQL, Databricks Workflows, Salesforce, Salesforce Marketing Cloud
Responsibilities
Design and operate data pipelines; ingest data from enterprise systems and APIs; write efficient SQL and Python; implement monitoring and alerting; participate in code review and CI/CD; partner with analysts and data scientists; use AI-assisted development tools
Seniority
Senior, hands-on IC
