Summary: Seeking a Lead Data Engineer to design, develop, and lead scalable data solutions for critical decision-making within the Customer Success and Support Data Engineering team. Highlights: 1. Lead the design of scalable data solutions and drive critical decisions 2. Shape trusted analytics foundations and guide the team to success 3. Foster a collaborative environment and adapt to new technologies We are seeking a **Lead Data Engineer** to join our Customer Success and Support (CSS) Data Engineering team. In this leadership role, you will deliver scalable data solutions that drive critical decisions across the organization. You will lead the design and development of data models, datamarts, and pipelines, while collaborating with stakeholders in agile sprints. Apply now to help shape trusted analytics foundations and guide our team to success! **Responsibilities** * Lead the design of scalable data solutions that support decision\-making across the organization * Build and maintain datamarts and analytics\-ready tables for reporting and insights * Develop and optimize SQL transformations with a focus on Databricks SQL workloads * Implement Spark and PySpark processing to handle large\-scale datasets efficiently * Orchestrate and monitor workflows using Airflow, ensuring reliability and recoverability * Create and refine data models that align with analytics and stakeholder requirements * Integrate data from diverse sources, including REST APIs and internal systems * Deliver sprint commitments based on quarterly requirements from Data Scientists and stakeholders * Provide on\-call support for ad\-hoc data requests and operational needs * Build and improve ingestion pipelines as a secondary focus area * Document datasets, models, and pipelines so clients and internal teams can self\-serve * Foster a collaborative team environment, incorporating constructive feedback and adapting to new technologies **Requirements** * 7\+ years of data engineering experience, with a proven track record in leadership roles (1\+ years) * Strong SQL expertise, including Databricks SQL * Extensive knowledge of Apache Spark * Strong Python skills, including PySpark development * Hands\-on experience with Apache Airflow for orchestration * Solid knowledge of Amazon Web Services for data workloads * Experience with CI/CD for data and platform deployments * Expertise in data integration and data modeling * Experience with REST APIs for data access and integration * Proven experience in ETL pipeline design and implementation * Strong leadership and mentorship skills * Strong project delivery skills in sprint\-based execution * Excellent communication and documentation skills * Excellent command of written and spoken English (B2\+ level) **Nice to have** * Databricks platform experience * Amazon Redshift experience * Experience with relational databases and column stores in mixed data infrastructures