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Principal Data Architect
1 month ago
We're looking for a talented and driven individual to join our LinkedIn team as a Principal Data Architect/Data Engineer. This role offers the opportunity to accelerate our efforts and be a major part of our data-centric culture.
About Us
Leveraging big data, we empower business decisions and deliver data-driven insights, metrics, and tools to drive member engagement, business growth, and monetization efforts. With over 800 million members worldwide, a focus on great user experience, and a mix of B2B and B2C programs, LinkedIn offers countless ways for an ambitious data engineer to have an impact and transform your career.
Job Description
You will work closely with various cross-functional teams such as product, marketing, sales, engineering, and operations to develop infrastructure and deliver tools or data structures that enable data-driven decision-making. Successful candidates will exhibit technical acumen and business savviness with a passion for making an impact by enabling both producers and consumers of data insight to work smarter.
Responsibilities:
- Work with high-performing data science professionals and cross-functional teams to identify business opportunities and build scalable data solutions.
- Build data expertise, act like an owner for the company, and manage complex data systems for a product or group of products.
- Perform all necessary data transformations to serve products that empower data-driven decision making.
- Build and manage data pipelines, design and architect databases.
- Establish efficient design and programming patterns for engineers and non-technical partners.
- Design, implement, integrate, and document performant systems or components for data flows or applications that power analysis at a massive scale.
- Ensure best practices and standards in our data ecosystem are shared across teams.
- Understand analytical objectives to make logical recommendations and drive informed actions.
- Engage with internal platform teams to prototype and validate tools developed in-house to derive insight from very large datasets or automate complex algorithms.
- Be a self-starter, initiate, and drive projects to completion with minimal guidance.
- Contribute to engineering innovations that fuel LinkedIn's vision and mission.
Qualifications:
- Bachelor's degree in a quantitative discipline: Computer science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc.
- 5+ years of relevant industry or academia experience working with large amounts of data.
- Experience with SQL/Relational databases.
- Background in at least one programming language (e.g., R, Python, Java, Scala, PHP).
Estimated Salary Range:$120,000 - $180,000 per year
Benefits:We offer generous health and wellness programs and time away for employees of all levels. We strongly believe in the well-being of our employees and their families.