We are seeking an experienced Director of Engineering to lead our engineering team and oversee the development and implementation of data technology foundation platforms and datawarehouse platforms. The ideal candidate will have strong technical skills, leadership experience, and the ability to work in a global, matrixed corporate environment. In addition, this role requires specific expertise in cloud, software development, and IT infrastructure. If you meet the requirements and are looking for an exciting opportunity to lead a team of engineers and drive innovation in technical operations, we encourage you to apply for the Director of Engineering position.
WHAT YOU WILL WORK ON- Develop and implement hiring strategies to attract top engineering talent
- Build, lead, and mentor a team of engineers with expertise in Data Platforms like Databricks, EMR’s, Snowflake, Teradata, S3 etc., and GEN AI like LLM’s, AI Agents, Chatbot
- Own end-to-end Engineering Delivery of your platforms. Manage specific team budget & develop annual operating plans in alignment with roadmap and platform strategy.
- Partner and engage with multiple data engineering squads and their leadership to align on platform-centric roadmap & requirements that will support thousands of data engineers and data scientists.
- Partner with Principle Engineers & Principle Architects to develop tools and frameworks for improving security, reliability, maintainability, availability, scalability, self-serviceability and performance of your platform’s foundation.
- Work with a global customer base to understand their needs and build solutions that meet those needs
- Manage and prioritize engineering projects to ensure timely delivery
- Stay current with industry trends and technologies to continuously improve our engineering practices
- Collaborate with other departments to ensure smooth integration of engineering solutions
- Communicate effectively with stakeholders at all levels of the organization
WHAT YOU BRING- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 14+ years of experience in software engineering; preferably in the Data Platforms, cloud or infrastructure space
- 6+ years of experience in a leadership role
- Expertise in at least one major cloud platform such as AWS or Azure
- 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
- Experience in building/adapting to Open Source Technologies
- Strong Experience in working with CICD and DevOps Tools like – Jenkins, Docker, Terraform, Kubernetes.
- Background in leading/managing platforms/products in the Data Engineering & Orchestration Space.
- Experience with modern data platforms such as Databricks, AWS EMR, etc.,
- Experience in managing Data warehouse like Snowflake, Teradata in global scale and strong in managing operations
- Deep foundational knowledge of software engineering practices, particularly on distributed systems and cloud native architectures.
- Strong communication, ability to influence, solve complex problems, and leadership ability while being a team player are a must.
- Ability to articulate a vision and strategy in a way that inspires and motivates a team and focuses their energy on achieving business goals.
- High emotional intelligence with the ability to bring diverse groups together to solve common goals.
- Focused leader of people and teams dedicated to empowering and growing team members rooted in trust and aligned to Nike's Maxims.
- Skilled in providing analysis and estimation of the strategic and financial value of new products / features.
- Pragmatic mindset, highly focused on delivery and customer value rooted in continuous delivery of world class resilient, scalable systems.