Senior Software Engineer II - Data Engineering and Platform

Architect and Implement Scalable Data Solutions: Design, develop, and deploy comprehensive data solutions encompassing ETL pipelines, data warehousing, data architecture, data cataloguing, and data delivery mechanisms. Ensure these solutions are scalable, reliable, and maintainable to support evolving business needs.​

Lead Data Platform Strategy: Develop and execute the strategic vision for the data platform, ensuring alignment with organizational objectives. Oversee the architecture and management of data systems to support efficient data storage, processing, and utilization.​

Collaborate Cross-Functionally: Work closely with product managers, engineering teams, data scientists, and other stakeholders to design and implement effective data integration and hand-off mechanisms. Facilitate seamless data flow and accessibility across various systems and teams.​

Optimize Performance and Scalability: Identify and address performance bottlenecks within the data platform. Implement strategies to enhance system performance, scalability, and reliability, ensuring the infrastructure can handle large-scale data processing efficiently.​

Oversee Data Governance and Quality: Implement and maintain data governance frameworks to ensure data quality, accuracy, consistency, and security. Establish policies and procedures for data management, ensuring compliance with regulatory requirements and industry best practices.​

Mentor and Lead Engineering Teams: Provide technical leadership and mentorship to data engineers and other team members. Foster a culture of innovation, ownership, and continuous learning within the team, guiding them through complex technical challenges and project deliveries.​

Conduct Code and Architecture Reviews: Lead code and architecture reviews to maintain high standards of code quality and system design. Provide constructive feedback and ensure adherence to best practices and organizational standards.​

• Stay Abreast of Industry Trends: Keep up-to-date with emerging technologies, tools, and methodologies in data engineering and platform development. Evaluate and recommend new solutions to enhance the data platform's capabilities and efficiency.