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