Data Engineer II

Calling all originals: At Levi Strauss & Co., you can be yourself — and be part of something bigger. We’re a company of people who like to forge our own path and leave the world better than we found it. Who believe that what makes us different makes us stronger. So add your voice. Make an impact. Find your fit — and your future. At Levi Strauss & Co, we are changing the apparel business and redefining the way denim is made. We are taking one of the world's most iconic brands into the next century.  You will create machine learning-powered denim finishes, using block-chain for our factory workers' wellbeing, and building algorithms to better meet the needs of our consumers and improve our supply chain. Be a pioneer in the fashion industry by joining our global Data, Analytics & AI “startup with assets.” Here, you will have the chance to build exciting solutions to improve our Americas business. At the same time, you will be part of a bigger, across-continents, data community. You are someone who can use programming and analytics technologies such as SQL/NoSQL, Python to validate products, data pipelines and data deliverables. If you have experience in automation, quality engineering of data-centric applications, especially with retail domain and excited about using your experience to catapult into hyper-growth, this job is for you. Summary of the Role: Join our Data & AI Platform Engineering organisation and lead the charge in transforming the fashion industry. As a Data Engineer, you will develop groundbreaking solutions that support our global business forward while being part of a dynamic, cross-continental data community. You will be lead an individual track within the Supply Chain & Planning Data Domain team. This track owns delivery, from requirements analysis and solution design through development, testing, deployment, and production support. You will work on a cloud native and modern data platform, building data pipelines to building data models and transformations to delivering data products and dashboards to our partners. You will provide technical expertise and operational support to meet the data needs for our businesses. From migrating existing workloads to building advanced cloud solutions, you will help shape and accomplish strategies to increase agility, improve security, reduce costs, and meet use targets. You bring technical leadership and deep data engineering expertise. They also have hands-on experience with event-driven architectures and real-time data processing technologies, such as Kafka, Google Pub/Sub, and streaming data pipelines. You will collaborate with partners, architects, analysts, data scientists, and engineering teams across multiple geographies to deliver high-quality, reliable, and scalable data solutions. We ask that you have partner management skills, along with the flexibility to overlap with U.S. time zones for a few hours each day to support global collaboration and project execution.

Lead an individual track within the Supply Chain & Planning Data Domain, driving delivery of strategic data programmes. . Architect scalable batch and real-time data pipelines supporting enterprise-wide data products and analytics solutions. Develop data models, transformations, and data products that meet business and operational requirements. Develop event-driven and streaming data solutions using technologies such as Kafka, Google Pub/Sub, Spark Streaming, or similar platforms. Collaborate with partners to understand requirements and translate them into technical solutions and delivery plans. Establish and enforce data quality, governance, observability, and monitoring frameworks to ensure trusted and reliable data products. Perform root cause analysis, troubleshoot data issues, and implement preventive measures to improve platform stability and performance. Improve data processing solutions for scalability, performance, and cost efficiency. Provide technical leadership and