Senior GTM Analytics Engineer: Data Foundations

LinkedIn; California (MO); Hybrid; USD 138,000 - 225,000; Full time

Job summary

LinkedIn, the world's largest professional network, seeks an Analytics Engineer, Marketing Strategy & Technology Data Foundations (Staff). This hybrid role can be based in Sunnyvale, San Francisco, Chicago, or New York, and partners with Sales, Strategy & Operations, Engineering, and Data teams to translate business pain points into scalable data solutions.

You will design durable data foundations, shaping architecture and governance, while balancing technical excellence with strong stakeholder

Qualifications

• 6+ years delivering data and analytics solutions in a business environment.
• 4+ years SQL and distributed data technologies to design large datasets.
• 4+ years designing scalable data foundations, modeling, governance, or monitoring.
• Experience partnering with stakeholders to translate requirements into solutions.
• 1+ years working with GenAI technologies and frameworks.

Responsibilities

• Lead high-impact data initiatives from strategy through execution and ownership across teams.
• Partner with Sales and stakeholders to design scalable data foundations and workflows.
• Architect and evolve datasets with data quality, governance, and SLA standards.
• Identify opportunities to simplify the data ecosystem and reduce technical debt.
• Establish analytics engineering practices, including data modeling and monitoring.
• Define and measure success via reliability, adoption, and business impact.
• Drive adoption of trusted data products and enable self-service insights.
• Align business, engineering, and data stakeholders with clear ownership.
• Mentor team members and promote scalable system design.

Skills

Modern Data Platforms

Data Architecture

Data Governance

Data Quality

Business Partnership

Cross-Functional Leadership

Education

Bachelor’s degree in Computer Science, Data Science, Information Systems, Statistics, Applied Mathematics, Engineering, Business Analytics, or equivalent

Tools

SQL

Spark

Trino

Python

Data Modeling

Job description

LinkedIn, the world's largest professional network, seeks an Analytics Engineer, Marketing Strategy & Technology Data Foundations (Staff). This hybrid role can be based in Sunnyvale, San Francisco, Chicago, or New York, and partners with Sales, Strategy & Operations, Engineering, and Data teams to translate business pain points into scalable data solutions.

You will design durable data foundations, shaping architecture and governance, while balancing technical excellence with strong stakeholder