LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.


As part of our world-class software engineering team, you will be charged with building the next-generation data management platform for LinkedIn. This platform is crucial for ensuring data privacy, implementing robust governance, maintaining high data quality, and providing comprehensive metadata management capabilities, with a strong emphasis on leveraging and enhancing DataHub. You will drive the technology vision and create business impact by putting to use your passion for very large-scale distributed systems and software as services and your passion for writing code that performs at an extreme scale. LinkedIn has already pioneered well-known open-source infrastructure projects like Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feather, etc. We also work with industry-standard open-source infrastructure products like Kubernetes, GRPC, and GraphQL. Come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company. We are building a cutting-edge data platform to power data quality, metadata management, data hub, privacy and governance. Our team is composed of highly skilled engineers passionate about leveraging data to solve complex business challenges. We foster a collaborative and innovative environment where individual contributions are valued and continuous learning is encouraged.

This role will be based in Bengaluru, India.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

Responsibilities:

- You will build and ship software, drive architectural decisions, and implement solutions for our data management platform, with a focus on data privacy, governance, data quality, and metadata management.
- You will design and enhance our metadata management systems, with a strong emphasis on DataHub, to ensure discoverability, understanding, and governance of our data assets.
- You will be responsible for the high availability, reliability, scalability, and performance of these data management systems.
- You will design the right interfaces/APIs for long-term evolution of the data management platform and its services.
- You will actively improve the level of craftsmanship at LinkedIn by developing best practices and defining optimal strategies for data management.
- You will invest in growing junior engineers, developing their design and craftsmanship skills, and fostering a culture of excellence in data management.
- You will lead cross-team/cross-functional discussions and drive alignment on product/technology strategy, particularly as it relates to data management. You will work closely with other stakeholders at Headquarters to drive intra-team alignment.
- You will be a primary domain expert to influence technology choices related to data management, including metadata management solutions.

Basic Qualifications:

- BA/BS Degree or higher in Computer Science or related technical discipline, or related practical experience
- 18+ years of programming experience in Java, C++ or similar programming languages
- 18+ years’ experience building large-scale distributed systems, applications, or similar experience

Preferred Qualifications:

- MS or PhD in Computer Science or related technical discipline.
- 18+ years of relevant work experience.
- Experience with strategic planning, executing on a long-term roadmap, team development, and scaling processes to support business growth.
- Designing and building infrastructure and backend services at internet scale, with a focus on data management capabilities.
- Building and shipping high-quality work while achieving high reliability in data management systems.
- Utilizing data and analysis in articulating technical problems and in arriving at recommendations and solutions for data management.
- Leading high-impact cross-org initiatives, especially those related to data governance, privacy, and metadata.
- Expertise in Big Data systems like Apache Hadoop, Spark, Iceberg, etc., is highly desirable, with a strong understanding of how they integrate with data management platforms.
- Deep understanding of metadata management principles and experience with DataHub.

Suggested Skills:

- Big Data technologies
- Large-scale distributed systems
- Data Governance
- Data Privacy
- Metadata Management (DataHub)
- Data Quality

You will Benefit from our Culture:
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.




India Disability Policy
LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf

Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal