Data Engineer, Analytics

Lead Data Engineer with 8–10+ years of experience, focusing on Databricks and Lakehouse architecture. Drives design and optimization of data pipelines, builds scalable solutions, and supports analytics and AI initiatives. Provides mentorship and strategic guidance to leadership. Key Responsibilities: Design and optimize data pipelines using Databricks, PySpark, and Delta Lake Build scalable data solutions for enterprise analytics and AI Support Power BI reporting and analytics initiatives Develop and maintain ETL/ELT pipelines and Lakehouse architectures Implement Medallion Architecture (Bronze/Silver/Gold) Mentor data engineers and foster best practices Provide strategic and technical guidance to leadership Engage stakeholders and communicate technical concepts Lead technical initiatives and drive platform evolution Ensure data quality and governance across the platform Qualifications: 8–10+ years of Data Engineering experience Strong hands-on experience with Databricks, PySpark, Spark, SQL, and Delta Lake Experience building and optimizing ETL/ELT pipelines and Lakehouse architectures Understanding of Medallion Architecture (Bronze/Silver/Gold) Experience supporting Power BI datasets and reporting solutions Proven ability to mentor team members and lead technical initiatives Strong communication and stakeholder engagement skills You have 8+ years building Databricks pipelines. Experienced in Medallion Architecture and Delta Lake governance. Skilled at mentoring engineers and guiding leadership strategies J-18808-Ljbffr