Data Architect Lead for Scalable Data Platforms

1 day ago


Bengaluru, Karnataka, India LinkedIn Full time
Job Description:
A talented Data Architect Lead is required to oversee the development and implementation of scalable data platforms at LinkedIn. This high-profile role involves leading a team of engineers in designing, building, and maintaining large-scale data systems that support the company's innovative products.

About the Role:
This position requires a seasoned technical leader with 15+ years of experience in software engineering and people management. The ideal candidate will have a strong background in software design, development, and large-scale software engineering, as well as experience programming in object-oriented and/or functional programming languages like Java/CPP/Scala etc.

The successful candidate will be responsible for:
- Managing the performance and career development of a team of engineers
- Owning significant parts of LinkedIn products that require design, architecture, and coding
- Participating with senior management in developing a long-term technology roadmap
- Being a role model and professional coach for engineers with a strong bias for action and focus on craftsmanship
- Working with peers across teams to support and leverage a shared technical stack

Requirements:
- BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience
- 15+ years of experience in software engineering/technical management and people management
- 15+ years of industry experience in software design, development, and large-scale software engineering

Suggested Skills:
- Technical Leadership
- People Management
- Stakeholder Management

What You Will Get:
As a Data Architect Lead at LinkedIn, you will benefit from our culture of innovation and collaboration. You will work in an environment where everyone feels a true sense of belonging, and what matters most is having the skills needed to succeed. We offer generous health and wellness programs, time away for employees of all levels, and a hybrid work option. Additionally, you will have the opportunity to grow your career and contribute to the development of cutting-edge data platforms that make a real impact on our users' lives.

Estimated Salary Range: $200,000 - $300,000 per year

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