Lead Data Engineer - R01565385

Key Responsibilities

• Design, develop, and maintain scalable batch and real-time data pipelines using AWS cloud technologies and modern ETL frameworks
• Build and optimize enterprise-grade data architectures, data warehouses, and analytics platforms
• Develop custom ETL workflows and reusable modules using Python, SQL, and PySpark
• Implement and manage data transformation and modeling workflows using dbt and Snowflake
• Work closely with Product, Analytics, Data Science, and business stakeholders to deliver scalable data solutions
• Integrate and manage data from Salesforce platforms and enterprise applications
• Utilize orchestration tools such as Airflow, Step Functions, and MuleSoft for workflow automation and pipeline scheduling
• Ensure high standards of data quality, monitoring, governance, and operational reliability
• Design scalable data models and support large-scale distributed and event-driven architectures
• Optimize SQL queries, ETL workflows, and cloud infrastructure for performance and scalability
• Support Agile delivery processes including sprint planning, code reviews, and continuous improvement initiatives
• Troubleshoot and resolve data pipeline, infrastructure, and performance-related issues