We're a company of people who like to forge our own path and leave the world better than we found it. The Staff Data Engineer is the technical leader for complex data engineering initiatives, responsible for designing and delivering scalable, secure, and high-performing data platforms, pipelines, and data products that enable enterprise analytics, AI, and business decision-making. This role solves complex data challenges at scale, establishes engineering standards, influences data architecture and platform strategy, and translates business priorities into resilient technical solutions. It supports modern cloud-native data ecosystems for analytical, operational, and AI workloads while ensuring data quality, reliability, security, governance, and cost efficiency.
Architect, design, and implement enterprise-scale data platforms, data pipelines, semantic layers, and data products that support analytical, operational, and AI use cases. Lead the design of scalable, highly available,



and cost-optimized cloud-native data solutions capable of processing large volumes of structured and unstructured data. Establish engineering standards, design patterns, and best practices for data ingestion, transformation, modeling, governance, observability, and reliability. Data Product Development Lead
Lead end-to-end development of data products from source system integration, ingestion, transformation, modeling, and delivery through consumption layers. Design robust data contracts with upstream and downstream systems to improve reliability and trust in data assets. Build and optimize high-performance batch, streaming, and near real-time data pipelines. Develop semantic and context-aware data models that improve accessibility and usability of enterprise data.
Quality, Reliability, and Governance
Establish and implement enterprise data quality frameworks, monitoring, observability, alerting, and governance practices. Drive implementation of security controls, privacy requirements, encrypt

📌 Data Architect (Ciudad de México)
🏢 Levi Strauss
📍 Ciudad de México