Job Purpose: Responsible for facilitating the capture, ingestion and transformation of data that provides data assets to drive business decisions. Job Duties & Responsibilities*: Lead the design and development of scalable and efficient data pipelines, focusing on data integration, transformation, and loading (ETL) processes. Assist in Architecting and maintaining data warehouses, data lakes, and data marts on cloud-based platforms, with a primary focus on Snowflake. Mentor and provide technical guidance to junior data engineers, fostering a culture of continuous learning and improvement. Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and ensure data solutions align with business objectives. Leverage your deep understanding of the business to identify opportunities where data and analytics can help solve complex problems and drive strategic initiatives. Implement data modeling, transformations, and orchestration using dbt to create a unified and reliable data layer. Oversee the management and optimization of existing data pipelines, ensuring data quality, performance, and reliability. Develop and maintain documentation for data engineering processes, standards, and best practices. Proactively identify and address data engineering bottlenecks, performance issues, and data quality challenges. Stay current with emerging technologies and industry trends in data engineering and analytics. Job Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 8 years of experience in data engineering, with a proven track record of designing and implementing complex data solutions. Strong expertise in data warehousing and cloud-based data platforms, with a focus on Snowflake. Proficiency in ETL tools, particularly Fivetran, and experience with data orchestration and transformation using dbt. In-depth knowledge of SQL and database design principles. Programming skills in Python, Java, or similar languages. Experience with version control systems (e.g., Git, Dev Ops) and Agile methodologies. Excellent problem-solving skills and the ability to lead and mentor a team. Strong communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders. Preferred Qualifications: Experience with data governance, data security, and compliance best practices. Familiarity with data visualization tools like Domo or Power BI. Knowledge of distributed computing and big data technologies (e.g., Hadoop, Spark). Certification in cloud platforms like AWS, Azure, or Google Cloud. With roots dating back to 1914, The Toro Company was built on a tradition of quality and caring relationships. Today, the company is a leading worldwide provider of innovative solutions for the outdoor environment including turf and landscape maintenance, snow and ice management, underground utility construction, rental and specialty construction, and irrigation and outdoor lighting solutions. Through a strong network of professional distributors, dealers, rental stores and retailers in more than 125 countries, we proudly offer a wide range of products across a family of global brands to help golf courses, professional contractors, underground construction professionals, groundskeepers, agricultural growers, rental companies, government and educational institutions, and homeowners – in addition to many leading sports venues and historic sites around the world.