Company Description
LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.
Join us to transform the way the world works.
Job Description
This role will be based in Sunnyvale or San Francisco.
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.
We are looking for a Data Architect to manage and maintain our semantic layer and data pipelines, while ensuring data quality, integrity, and accuracy. You will work cross-functionally with engineering, data governance, and stakeholder teams to advance our data and reporting solutions. You will leverage our data to identify key insights and create operational efficiencies, as well as produce accurate and meaningful analysis to drive business decisions.
To be successful in this role you need to be highly analytical, with a strong intellectual curiosity and be comfortable responding to and structuring ambiguous requests. You must be able to prioritize multiple tasks in a fast-paced environment. Your stakeholders will not always know what is possible, so it is important that you ask effective questions to get clarity in addition to managing expectations on what you can deliver. Exceptional attention to detail, strong analytical and development skills, proactive communication skills, and an ability to meet tight deadlines will be critical for success in this role.
Responsibilities:
- Contribute to the design of the ETL process, driving clean and actionable requirements while working with our Talent Engineering teams.
- Build an architecture and monitoring mechanism in partnership with data governance across the data reporting landscape to have always-on sensing and response methodologies established.
- Ability to design robust and enterprise level data models intended to address specific issues.
- Deployment management – Ideate & establish framework for a continuous integration and deployment enabling optimal speed to market, ensure all prerequisites are met for any deployment in production.
- Conduct complex data analysis, develop actionable insights, communicate findings to stakeholders, and utilize data visualization tools to support function strategy and decision-making.
- Proven track record of developing enterprise-level data programs heavily focused on self-service and multi-persona management.
- Influence and collaborate on the global strategy for People Reporting at the enterprise level and establish scalable solutions to support end users.
- Ability to develop strong partnerships within the organization.
- Stay relevant in technology trends that might be used to resolve complex business problems.
- Negotiation skills to manage expectations with stakeholders at multiple levels and business functions within the organization.
- Establish an operational model to prioritize and support ad-hoc data requests.
- Serve as the primary business owner that works with our Talent Engineering team to build, maintain and improve our people data tools and products.
- Bring critical thinking & problem-solving skills to a range of challenging problems.
Qualifications
Basic Qualifications:
- BA/BS degree or equivalent degree in Computer Science, Information Technology, Information Systems, or a related field.
- 4+ years of experience as a Data Architect or in a similar role.
- 3+ years of database design and semantic layer development.
- 3+ years of work experience managing stakeholders and engineering teams.
- Experience driving Data Governance programs
- Experience with data visualization tools (e.g., Power BI, Tableau, etc.)
Preferred Qualifications:
- Strong proficiency in SQL and ETL processes
- High proficiency in T-SQL
- Familiarity with tools including ALM Toolkit, Tabular Editor, SQL Server Management Studio (SSMS), etc.
- 3+ years in multi-dimensional design
- Experience in enterprise integration, primarily focused on HR systems (Visier, Workday, SmartRecruiters, CSOD, etc.), Visier strongly preferred.
Suggested Skills:
- Design and Systems Thinking
- Easily Adaptable
- Autonomy, Creativity, and Discretion
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $112,000 to $185,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.
Additional Information
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: EEO Statement_2020 - Signed.pdf.
Please reference the following information for more information: https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and
https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
- Documents in alternate formats or read aloud to you
- Having interviews in an accessible location
- Being accompanied by a service dog
- Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
San Francisco Fair Chance Ordinance
Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
Global Data Privacy Notice for Job Candidates
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
