LMTS / SMTS Data Engineer

Role Overview: As a Senior Data Engineer (SMTS) at Salesforce, you will have the opportunity to work on cutting-edge technologies and contribute to the development of intelligent, data-driven tools that enable strategic decision-making. You will be part of a dynamic team that values innovation, collaboration, and continuous learning. Your role will involve developing scalable, resilient, and distributed systems to collect, process, and analyze massive volumes of operational data. If you are passionate about building advanced data pipelines and working with a global team to drive innovation, this is the perfect opportunity for you. Key Responsibilities: - Develop, automate, enhance, and maintain scalable ETL pipelines - Independently design and develop resilient and reusable automation data frameworks - Lead data pipeline development delivered by multiple engineers - Lead and participate in requirement gathering, design, and development of complex datasets - Mentor team members in all aspects of the data maturity lifecycle - Work and collaborate with global teams across AMER and APAC Qualifications Required: - Bachelor's degree in Computer Science - 5+ years of experience in data engineering, data modeling, automation, and analytics - Deep understanding of data engineering tech stack, database designs, associated tools, system components, internal processes, and architecture - Experience working as a technical lead/solution architect in a customer-focused team - Ability to strategically communicate status and identify risks - Self-starter, highly motivated, able to shift directions quickly, think through problems, and deliver against tight deadlines - Proficiency in Big Data technologies such as Spark, Trino, Hive, Airflow, Docker - Experience with Agile and Scrum methodology, incremental delivery, and CI/CD - Experienced in cloud provider platforms like AWS, Azure, GCP - Experience with data visualization tools like Tableau is a plus - Experience in FinOps engineering is advantageous Additional Company Details: Salesforce is the #1 AI CRM where humans and agents collaborate to drive customer success. Innovation is at the core of our values, and we are looking for Trailblazers who are passionate about bettering business and the world through AI. As a part of the Salesforce Engineering team, you will be at the forefront of workforce transformation in the agentic era. Join us to shape the future and redefine what's possible for yourself, for AI, and the world. Role Overview: As a Senior Data Engineer (SMTS) at Salesforce, you will have the opportunity to work on cutting-edge technologies and contribute to the development of intelligent, data-driven tools that enable strategic decision-making. You will be part of a dynamic team that values innovation, collaboration, and continuous learning. Your role will involve developing scalable, resilient, and distributed systems to collect, process, and analyze massive volumes of operational data. If you are passionate about building advanced data pipelines and working with a global team to drive innovation, this is the perfect opportunity for you. Key Responsibilities: - Develop, automate, enhance, and maintain scalable ETL pipelines - Independently design and develop resilient and reusable automation data frameworks - Lead data pipeline development delivered by multiple engineers - Lead and participate in requirement gathering, design, and development of complex datasets - Mentor team members in all aspects of the data maturity lifecycle - Work and collaborate with global teams across AMER and APAC Qualifications Required: - Bachelor's degree in Computer Science - 5+ years of experience in data engineering, data modeling, automation, and analytics - Deep understanding of data engineering tech stack, database designs, associated tools, system components, internal processes, and architecture - Experience working as a technical lead/solution architect in a customer-focused team - Ability to strategically communicate status and identify risks - Self-starter, highly motivated, able to shift directions quickly, think through problems, and deliver against tight deadlines - Proficiency in Big Data technologies such as Spark, Trino, Hive, Airflow, Docker - Experience with Agile and Scrum methodology, incremental delivery, and CI/CD - Experienced in cloud provider platforms like AWS, Azure, GCP - Experience with data visualization tools like Tableau is a plus - Experience in FinOps engineering is advantageous Additional Company Details: Salesforce is the #1 AI CRM where humans and agents collaborate to drive customer success. Innovation is at the core of our values, and we are looking for Trailblazers who are passionate about bettering business and the world through AI. As a part of the Salesforce Engineering team, you will be at the forefront of workforce transformation in the agentic era. Join us to shape the future and redefine what's possible for yourself, for AI, and t