Senior Leader – Data Analytics Engineering – Distinguished Engineer
| Company | Western Digital |
|---|---|
| Location | San Jose, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s |
| Experience Level | Expert or higher |
Requirements
- Desirable to have Master’s or higher degree in a relevant field such as Computer Science, Engineering, or applied Sciences
- Proven experience in technology leadership roles, with a track record of successfully implementing technology strategies aligned with organization goals and objective
- 15+ years of proven experience in building scalable platforms that supports complex cross-functional business processes, leverages modern Software principles, and incrementally builds and expands the API economy
- Familiarity and understanding of challenges around cross-functional business processes, such as, Design to Build, Plan to Fulfill, Order to Cash, Procure to Pay, Record to Report, etc.
- Have partnered with leaders of Enterprise business functions, such as, Finance, Sales and Marketing, Business Units, Supply Chain, Procurement etc. and have helped enabled cross-functional applications to support their business processes
- Extensive technical knowledge and proficiency in IT systems, software development, cybersecurity, cloud computing, and emerging data and analytics technologies
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes)
Responsibilities
- Lead technology direction with business focus
- Evaluate emerging technologies and trends and assess their relevance to the WDC organization and recommend adoption strategies
- Collaborate with business leaders, IT teams, and other stakeholders to develop a point of view on architectural underpinnings for enabling an incremental and prioritized process towards achieving an end-to-end connected enterprise
- Develop and champion the organization’s enterprise architecture that continuously strengthens technology, application, data & analytics, and security posture
- Ensure enterprise architecture modernization effort remains aligned with the organization’s strategic goals and objectives and make recommendations for adjustments as necessary
- Champion and execute for business agility
- Embrace and champion Agile methodologies within IT organization to promote collaboration, flexibility, and continuous improvement through short development cycles (sprints) and iterative development
- Integrate development (Dev) and operations (Ops) to automate processes, improve deployment speed, and enhance collaboration between development and IT operations teams
- Integrate security practices throughout the development lifecycle (DevSecOps) to identify and address vulnerabilities and protect against security threats
- Develop and implement an API strategy aligned with the organization’s business objectives, identifying opportunities to leverage APIs for growth and innovation
- Establish and champion API governance standards, including design, security, and documentation, to ensure consistency, quality, and compliance
- Collaborate with software development teams to design, develop API strategy that enable seamless integration and data exchange between systems, both internally and externally
- Build Cloud-native applications taking advantage of cloud services like AWS, Azure, or Google Cloud for scalability, reliability, and cost-efficiency
- Champion best practice of decomposing complex applications into smaller, loosely coupled microservices, and leverage containerization (e.g., Docker) for scalability, portability, and isolation
- Utilize open-source software and libraries to accelerate development and promote code reusability. Contribute back to open-source communities when possible
- Prioritize user experience (UX) by involving users in solution design process, define usability testing, and continuously gathering feedback for iterative improvements
- Partner with Sales and Business unit functions to explore new opportunities, such as, implement strategies to monetize APIs, API marketplaces, subscription models, or partnerships, to create new revenue streams
Preferred Qualifications
- Master’s or higher degree in a relevant field such as Computer Science, Engineering, or applied Sciences