LMTS / SMTS Data Engineer (ETL & Big-Data)

Job Description To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era You're in the right place Agentforce is the future of AI, and you are the future of Salesforce. The Salesforce Engineering team is looking for a Senior Data Engineer (SMTS) with experience in distributed systems to join us. You will be working cross-functionally with engineers, architects, and product managers to build the breakthrough features that our internal customers will love, adopt and use while ensuring stable and scalable applications. You'll be a part of a modern, lean, self-governing product engineering team where you have the ability to switch hats between coding to requirements gathering, to testing for quality and performance. The team develops intelligent, data driven tools which enable strategic decision-making pertaining to Salesforce infrastructure expenditure and capacity management. We are building a platform that provides near real-time monitoring of cost and capacity utilization of the infrastructure, which will help in optimizing resource allocation and minimizing costs. We apply advanced machine learning techniques to turn the petabytes of data generated by our global infrastructure into actionable predictions and business insights used by capacity planners, internal service owners, and technical leaders daily. As an internal tooling team, engineers are expected to directly interact with customers to develop requirements and design, release and maintain distributed systems with visibility throughout Salesforce. This is a fantastic opportunity for someone who is passionate about building scalable, resilient, distributed systems that collect, process, and analyze massive volumes of operational data. The skillset includes possessing strong data architecture, ETL, SQL and a proven track record working with enterprise metrics to build automated data pipelines with deep proficiency in Big Data Tech stack such as Spark, Trino, Hive, Airflow. Responsibilities - Develop, automate, enhance, maintain scalable ETL pipelines - Independently design & develop resilient and reusable automation data frameworks. - Lead data pipeline development being 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. Required Skills/Experience - Bachelors degree in Computer Science. - 5+ years of experience in data engineering, data modelling, 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 - Must be able to strategically communicate status and identify risks - Self-starter, highly motivated, able to shift directions quickly when priorities change, think through problems to come up with innovative solutions and deliver against tight deadlines. - Must be results oriented and able to move forward with minimal direction - Experience in distributed SQL analytics engines such as Spark and Trino - Deep proficiency in Big Data technologies like Spark, Trino, Hive, Airflow, Docker - Experience working in Agile and Scrum methodology, incremental delivery, and CI/CD - Experienced in cloud provider platforms such as AWS, Azure, GCP - Experience with data visualization tools like Tableau is a Plus - Experience in FinOps engineering is a big plus Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future but to redefine what's possible for yourself, for AI, and the world. Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.