Company Description
LinkedIn was built to help professionals achieve more in their careers, and everyday millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We’re much more than a digital resume – we transform lives through innovative products and technology.
Searching for your dream job? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works.
Technology leaders collaborate, maintain balance, commit, and achieve results – all while upholding immense pride in their quality of work. Our leaders value their craft and inspire their team to do the same. They balance product and technology strategy to put members first. They are responsible for attracting, retaining, engaging, and developing their teams while also leading and inspiring them to achieve the goals of LinkedIn. Engineering leaders are champions of LinkedIn to their coworkers, their networks, and the tech community.
Job Description
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together. This is a hybrid position based out of our Sunnyvale, CA Headquarters.
We are looking for a strategic and hands-on Senior Director of Database Infrastructure to lead our database systems team. This role is pivotal in overseeing the design, implementation, and optimization of our database infrastructure, encompassing technologies such as relational databases, graph databases, core analytics, caching, and serving. The Senior Director will lead efforts to ensure scalability, reliability, and performance across our entire data stack, supporting our mission-critical data storage and processing capabilities.
Responsibilities:
Lead the entire area of online databases, including various types such as relational, graph, core analytics, caching, and serving.
Oversee the storage of mission-critical data, including economic graph data, connections, and all related logic.
Develop and execute an overarching strategy to consolidate fragmented database efforts across different organizational units.
Ensure efficient sharing and integration across multiple database platforms.
Take responsibility for all structured data within the organization.
Establish and enforce best practices for database infrastructure operations, including monitoring, automation, disaster recovery, and security protocols.
Implement and maintain infrastructure as code (IaC) practices for configuration management and deployment.
Maintain a deep understanding of emerging technologies, industry trends, and best practices in database infrastructure, data processing, and analytics.
Drive innovation and adoption of new tools and frameworks to enhance our data capabilities.
Lead, mentor, and develop a high-performing team of engineers specialized in database infrastructure and data processing.
Basic Qualifications:
10+ years of work experience in the technical field
6+ years of technical leadership experience leading teams of ~80+
5+ years of technical knowledge surrounding large scale databases (structured, distributed, relational, graph, etc)
Preferred Qualifications:
Strategic Leadership: Define and execute the database infrastructure roadmap aligned with our business objectives and data strategy. Provide technical leadership and guidance on adopting new technologies and methodologies to enhance system performance and efficiency.
Experience with cloud computing platforms (e.g., AWS, Azure, GCP), Linux-based systems, container orchestration (e.g., Kubernetes), and infrastructure as code (e.g., Terraform, Ansible).
Experience with CI/CD pipelines and monitoring tools (e.g., Prometheus, Grafana).
Demonstrated ability to lead and mentor technical teams, drive technical initiatives, and communicate effectively with stakeholders at all levels.
Strong problem-solving and decision-making skills.
Experience with various types of databases, including structured, relational, graph, key-value stores, NoSQL, and MongoDB.
Ability to develop and implement strategies for consolidating database systems and finding efficiencies.
Ability to work in large tech migrations and handle ambiguity.
Suggested Skills:
Excellent leadership and technical depth related to running efficient large-scale databases for global, exabyte tech companies.
Strong communication and collaboration skills.
Great ability to execute in ambiguity.
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $238000 to $390000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include an annual performance bonus, stock, and benefits. For additional information, visit:
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: Please reference and for more information.
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