Software Engineering LMTS- Big Data Engineer

As a candidate for the role in the Unified Intelligence Platform (UIP) team, you will be part of a mission to enable Salesforce teams to deeply understand and optimize their services and operations through data. The UIP is a modern, cloud-based data platform built with cutting-edge technologies like Spark, Trino, Airflow, DBT, Jupyter Notebooks, and more. Here are the details of the job responsibilities and qualifications we are looking for: **Role Overview:** You will be responsible for leading the architecture, design, development, and support of mission-critical data and platform services. Your role will involve driving self-service data pipelines, collaborating with product management teams, and architecting robust data solutions that enhance ingestion, processing, and quality. Additionally, you will be involved in promoting a service ownership model, developing data frameworks, implementing data quality services, building Salesforce-integrated applications, establishing CI/CD processes, and maintaining key components of the UIP technology stack. **Key Responsibilities:** - Lead the architecture, design, development, and support of mission-critical data and platform services - Drive self-service, metadata-driven data pipelines, services, and applications - Collaborate with product management and client teams to deliver scalable solutions - Architect robust data solutions with security and governance - Promote a service ownership model with telemetry and control mechanisms - Develop data frameworks and implement data quality services - Build Salesforce-integrated applications for data lifecycle management - Establish and refine CI/CD processes for seamless deployment - Oversee and maintain components of the UIP technology stack - Collaborate with third-party vendors for issue resolution - Architect data pipelines optimized for multi-cloud environments **Qualifications Required:** - Passionate about tackling big data challenges in distributed systems - Highly collaborative and adaptable, with a strong foundation in software engineering - Committed to engineering excellence and fostering transparency - Embraces a growth mindset and actively engages in support channels - Champions a Service Ownership model and minimizes operational overhead through automation - Experience with advanced data lake engines like Spark and Trino is a plus This is an opportunity to be part of a fast-paced, agile, and highly collaborative team that is defining the next generation of trusted enterprise computing. If you are passionate about working with cutting-edge technologies and solving complex data challenges, this role might be the perfect fit for you.,