• As the Staff Engineer/ Technical Lead for the Analytics Team, you will spearhead a team of engineers, providing the guidance and technical oversight necessary to ensure the successful delivery of all project milestones. • Architect and evolve scalable data pipelines using Python (PySpark) on Databricks. • Lead design and implementation of data ingestion, transformation, and orchestration frameworks. • Mentor and guide other data engineers through technical leadership and coaching. • Drive performance optimization, cost efficiency, and system reliability at scale. • Contribute to long-term data platform strategy and roadmap • Review designs and code, providing thoughtful feedback and raising the engineering bar • Research and build proof of concepts in the data space • Write clean, well-structured, and maintainable code, adhering to established coding standards and best practices • Perform thorough code reviews, providing constructive feedback to peers and identifying potential risks or areas for improvement • Debug and resolve defects, proactively identifying and addressing potential issues before they impact users • Create and maintain comprehensive technical documentation • Actively participate in Agile ceremonies, such as stand-ups, sprint planning, and retrospectives, ensuring effective communication and collaboration across the team • Assist in the estimation, prioritization, and planning of development tasks, ensuring projects are delivered on time and within budget • Continuously evaluate and recommend new dataframe related technologies, frameworks, and tools, helping to drive innovation and keep the team up-to-date with industry trends • Engage in ongoing professional development to stay current with industry best practices, and share knowledge and insights with the team as appropriate • Assist in the implementation and maintenance of security, compliance, and governance policies within the Databricks and AWS environment to ensure adherence to industry standards and regulatory requirements.