driving Innovation at the Intersection of Data and AI

Nike is actively seeking a Senior Software Engineer to join its Enterprise Architecture & Developer Platforms (EADP) team. This role represents a pivotal prospect to contribute to the evolution of Nike’s data infrastructure, specifically focusing on the convergence of advanced data platforms and cutting-edge AI technologies. The EADP team’s core mission is to construct and expand world-class, cloud-native platforms that empower Nike with data-driven insights and intelligent automation capabilities.

The selected candidate will operate at the crucial intersection of Data Platforms – including Snowflake, Databricks, Teradata, and Trino – and AI-driven innovation. This position is designed to spearhead advancements in both analytical capabilities and intelligent automation processes within the association.

Collaboration and creativity are at our core, and we are passionate about leveraging cloud-scale data platforms and AI-powered automation to transform buisness operations.

Ideal Candidate Profile: Expertise in Data Platforms and AI Automation

Nike is looking for a highly skilled Senior Software Engineer with extensive experience in Databricks, AWS Services, Cloud Platforms, and AI-driven automation. The ideal candidate will be adept at building scalable, high-performance data platforms that enhance efficiency, provide deeper insights, and improve overall user experience. This individual should thrive in a dynamic environment and possess a strong passion for leveraging AI to optimize data-related processes.

Key Skills and Qualifications:

• A minimum of 5-7 years of experience in designing, building, and optimizing data platforms at scale.
• in-depth technical knowledge of Databricks, snowflake, Teradata, Trino, and cloud-native data architectures.
• Proficiency in programming languages such as Python and SQL, as well as experience with automation frameworks.
• Familiarity with AI/ML concepts,including GenAI (LLMs,OpenAI,Azure AI),and AI-powered automation techniques.
• A solid understanding of data governance principles, security protocols, and performance optimization strategies.
• Experience with cloud services (AWS, GCP, Kubernetes, Terraform, docker, CI/CD pipelines).
• Proven ability to build high-performance,scalable,and secure data platforms,ensuring optimal cost-efficiency,reliability,and governance.
• Hands-on experience in data modeling, ELT/ETL pipelines, data lake architecture, and performance tuning.
• Exceptional collaboration, problem-solving, and leadership skills, with the ability to drive initiatives across multiple teams.

The demand for professionals with these skills is rapidly increasing. According to a recent report by Gartner, the market for AI-powered automation is projected to reach $870 billion by 2027, highlighting the critical need for skilled engineers in this domain.

Responsibilities: Shaping Nike’s Data Future

As a Senior Software Engineer, the selected candidate will play a pivotal role in shaping, modernizing, and scaling nike’s cloud data platforms. This includes driving the adoption of AI and automation throughout the data ecosystem.

Core Data Platform Responsibilities:

• Architecting, building, and optimizing Snowflake, Databricks, and Teradata platforms to ensure high performance, scalability, and cost-efficiency.
• Designing and implementing advanced data modeling,warehousing,and analytics solutions.
• Developing and managing ETL/ELT pipelines, leveraging modern data frameworks and cloud technologies.
• Leading efforts in data governance, security, access control, and compliance standards.
• Implementing observability, performance tuning, and automated monitoring for data platforms.

AI-Driven Enhancements & Automation:

• Integrating AI-powered automation into data pipelines, enabling self-healing, anomaly detection, and predictive optimizations.
• Building GenAI-powered chatbots and AI agents to improve self-service analytics and platform intelligence.
• Enhancing data intelligence capabilities using LLMs, RAG (Retrieval-augmented Generation), and AI-powered search.
• Driving AI-driven cost optimization, ensuring efficient resource utilization across cloud platforms.
• Promoting AI adoption in data engineering, helping Nike teams unlock new automation opportunities.

This role offers a unique opportunity to contribute to a world-renowned brand and shape the future of data-driven decision-making through the innovative submission of AI technologies. Nike’s commitment to leveraging data and AI positions it as a leader in the evolving landscape of sports and technology.