Distinguished Engineer - Data, Knowledge, & AI Platforms - ITC

Overview

Technical leadership role shaping the technical direction, architecture and modernization of Nike's enterprise data, analytics and AI platforms at global scale.

What you'll do

• Define and advance the long-term technical strategy for enterprise data and AI platforms, with a focus on scalability, resilience, security and cost efficiency.
• Lead platform architecture and modernization across cloud-native data, analytics and AI capabilities that support global engineering and business teams.
• Build platform components that enable Semantic layer, Ontology, Taxonomy and Knowledge graphs.
• Establish standards and reference patterns for platform design, governance, observability, automation and high-quality data operations.
• Partner with product, platform, infrastructure and security leaders to align roadmaps and enable self-service experiences at scale.
• Champion innovation in AI, GenAI, automation and real-time data capabilities to unlock new platform and developer value.
• Influence senior stakeholders and mentor engineering leaders to raise the bar on technical excellence, platform outcomes and organizational capability.
• Provide technical leadership to a broad community of principal engineers, architects and engineering teams across geographies.

What you'll need

• Bachelor's degree in computer science or related field. Will accept any suitable combination of education, experience and training.
• 10+ years software engineering experience as an individual contributor.
• Proven track record as a Distinguished Engineer or equivalent role in a technology-driven organization.
• Strong knowledge of data structures, algorithms and distributed computing.
• Strong understanding of enterprise data privacy, governance and access controls, with the ability to design and enforce safeguards that protect sensitive data.
• Deep knowledge of Semantic layer, Ontology, Taxonomy and Knowledge graphs.
• Deep understanding of system performance tradeoffs and engineering for high availability.
• Strong understanding of AI/ML technologies and their application to data-driven solutions.
• Excellent leadership and communication skills, with the ability to influence and inspire teams.
• Proven ability to drive innovation and solve complex technical challenges.
• Strong analytical and problem-solving skills.
• Experience with batch and streaming pipelines, orchestration, storage, metadata and observability.
• Experience with cloud-based platforms and distributed systems.

Nice to have

• Active involvement in the open-source community and a history of contributing to relevant projects and/or experience in publishing technical articles.

Details

• Location: Karnataka, India.