Senior Data Engineer, Data Modeler / Architect

Scope of Work • Collaborate with the Data Modeler team to model and map data as required by defined use cases • Build unified data graphs based on requests from internal consumers • Manage and maintain existing data graphs

Required Skills & Qualifications • Strong experience in data engineering, ETL (preferably Informatica), and data architecture • Experience working with Salesforce platforms and data models • Hands-on experience with Airflow and MuleSoft • Strong SQL skills with Snowflake and other relational databases • Experience writing complex Python modules for custom ETL workflows • Expertise in building batch and real-time data pipelines • Experience with dbt for data transformation and modeling • Familiarity with AWS/GCP and distributed/event-driven architectures • Strong understanding of data modeling, data warehousing, and big data processing • Experience with data quality, monitoring, and pipeline orchestration frameworks • Ability to work closely with Product, Data Science, and Analytics teams • Experience working on Salesforce Flows and Apex is a plus