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.
Key Skills & Traits:
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5-7 years of experience in designing, building, and optimizing data platforms at scale.
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Deep technical expertise in Databricks, Snowflake, Teradata, Trino, and cloud-native data architectures.
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Strong programming skills in Python, SQL, and automation frameworks.
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Knowledge in AI/ML, GenAI (LLMs, OpenAI, Azure AI), and AI-powered automation.
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Solid understanding of data governance, security, and performance optimization.
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Passion for leveraging AI to enhance automation, efficiency, and analytics
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Proficiency in Python, SQL, and cloud services (AWS, GCP, Kubernetes, Terraform, Docker, CI/CD pipelines).
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Experience in building high-performance, scalable, and secure data platforms, ensuring optimal cost, reliability, and governance.
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Hands-on experience in data modelling, ELT/ETL pipelines, data lake architecture, and performance optimization.
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Strong collaboration, problem-solving, and leadership skills, with the ability to drive initiatives across multiple teams.
WHAT YOU’LL WORK ON
As a Senior Software Engineer, you will play a crucial role in shaping, modernizing, and scaling Nike’s cloud data platforms while also driving AI adoption and automation within our data ecosystem.
Core Data Platform Responsibilities:
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Architect, build, and optimize Snowflake, Databricks, and Teradata platforms to ensure high performance, scalability, and cost-efficiency.
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Design and implement advanced data modelling, warehousing, and analytics solutions.
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Develop and manage ETL/ELT pipelines, leveraging modern data frameworks and cloud technologies.
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Lead efforts in data governance, security, access control, and compliance standards.
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Implement observability, performance tuning, and automated monitoring for data platforms.
AI-Driven Enhancements & Automation:
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Integrate AI-powered automation into data pipelines, enabling self-healing, anomaly detection, and predictive optimizations.
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Build GenAI-powered chatbots and AI agents to improve self-service analytics and platform intelligence.
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Enhance data intelligence capabilities using LLMs, RAG (Retrieval-Augmented Generation), and AI-powered search.
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Drive AI-driven cost optimization, ensuring efficient resource utilization across cloud platforms.
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Evangelize AI adoption in data engineering, helping Nike teams unlock new automation opportunities.
To apply for this job please visit itjobpro.com.