Principal Software Engineer, Tech Lead - Databricks Platform

This role is a principal-level data engineering position focused on building and scaling the Databricks and AI platform. The engineer will design and implement data pipelines, optimize data architecture, and enable advanced analytics and machine learning capabilities.

This role focuses on leading the design and development of LinkedIn's data infrastructure, tackling challenges in scalability, reliability, and performance. The engineer will work with large-scale distributed systems and big data technologies to support LinkedIn's data-driven products and services.

This Solution Architect Senior Director role designs and implements enterprise-scale Databricks solutions for Acxiom clients. The architect will lead technical architecture strategy, oversee complex data platform implementations, and guide teams on best practices for lakehouse deployments.

This Principal Engineer leads the technical strategy for Pinterest's next-generation big data infrastructure, which powers mission-critical big data and AI applications. The role involves building and scaling data infrastructure frameworks to process petabytes-scale datasets, including compute engines, job management, and scheduling. The engineer will provide thought leadership on data processing and storage, working with open-source technologies like Flink, Spark, and Kubernetes.

This Senior Software Engineer role focuses on building and integrating machine learning systems, with challenges in model deployment and scalability. The engineer will work on AI/ML product features, likely using frameworks like TensorFlow or PyTorch.

This role involves building and maintaining backend systems for Cardlytics' purchase-based advertising platform, focusing on scalable data processing and API development to handle transaction data and deliver targeted ads. Requires experience with Python, Java, and SQL.

This role drives new business sales for partner acquisition, focusing on a hunt-oriented go-to-market motion to build the partner ecosystem. It involves identifying and closing new partnerships to expand Cardlytics' network, likely targeting retailers and other data partners.