Software Engineer II, ITC

WHO YOU'LL WORK WITH

You'll be joining a dynamic, fast-paced Enterprise Architecture & Developer Platforms (EADP) team within Nike. Our mission is to build and scale world-class cloud-native platforms, enabling Nike's data-driven decision-making and intelligent automation capabilities.

This role sits at the intersection of Data Platforms (Snowflake, Databricks, Teradata, Trino) and AI-driven innovation helping to drive cutting-edge advancements in both analytics and intelligent automation.

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

WHO WE ARE LOOKING FOR

We are seeking a Senior Software Engineer who brings deep expertise in Databricks, AWS Services, Cloud Platforms, and AI-driven automation. You are someone who thrives in building scalable, high-performance data platforms to improve efficiency, insights, and user experience.

• 5-7 years of experience in designing, building, and optimizing data platforms at scale.
• Deep technical expertise in Databricks, Snowflake, Teradata, Trino, and cloud-native data architectures.
• Strong programming skills in Python, SQL, and automation frameworks.
• Knowledge in AI/ML, GenAI (LLMs, OpenAI, Azure AI), and AI-powered automation.
• Solid understanding of data governance, security, and performance optimization.
• Passion for leveraging AI to enhance automation, efficiency, and analytics
• Proficiency in Python, SQL, and cloud services (AWS, GCP, Kubernetes, Terraform, Docker, CI/CD pipelines).
• Experience in building high-performance, scalable, and secure data platforms, ensuring optimal cost, reliability, and governance.
• Hands-on experience in data modelling, ELT/ETL pipelines, data lake architecture, and performance optimization.
• Strong collaboration, problem-solving, and leadership skills, with the ability to drive initiatives across multiple teams.

• Architect, build, and optimize Snowflake, Databricks, and Teradata platforms to ensure high performance, scalability, and cost-efficiency.
• Design and implement advanced data modelling, warehousing, and analytics solutions.
• Develop and manage ETL/ELT pipelines, leveraging modern data frameworks and cloud technologies.
• Lead efforts in data governance, security, access control, and compliance standards.
• Implement observability, performance tuning, and automated monitoring for data platforms.

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