Senior Staff Engineer, Data Platform

Your Impact on our Mission

We are looking for a Senior Staff Data Platform Engineer to elevate the systems that power trusted decision-making at Zocdoc.

In this high-impact role, you will define platform standards, lead complex cross-domain initiatives, and shape the future of our analytics and data infrastructure. Your work will ensure our data ecosystem is secure, reliable, compliant, performant, and cost-efficient—enabling teams across Product, Engineering, Operations, and Leadership to move confidently with trusted insights.

This is a senior individual contributor role open to remote candidates across the United States.

You’ll enjoy this role if you are…

• Motivated by designing scalable data platforms that serve hundreds of stakeholders.
• Passionate about building clean, governed, and secure data systems.
• Known for improving reliability, performance, and cost efficiency.
• Comfortable operating as a technical authority without formal management.
• Energized by raising standards across analytics, infrastructure, and governance.
• Interested in solving complex data challenges in healthcare.

Your day to day is…

• Architecting and improving orchestration, monitoring, and data reliability systems.
• Defining modeling, semantic layer, and governance standards across teams.
• Optimizing warehouse performance and reducing compute spend.
• Implementing secure access controls and strengthening compliance practices.
• Partnering with Engineering to improve upstream data quality and contracts.
• Leading cross-functional initiatives that modernize and future-proof Zocdoc’s data platform.
• Mentoring engineers and guiding architectural decisions.

You’ll be successful in this role if you have…

• 10+ years of experience in Data Engineering, Analytics Engineering, Platform Engineering, or Backend Software Engineering.
• Operated at Staff-level scope with cross-team technical influence.
• Expert SQL skills and strong proficiency in Python or similar languages.
• Deep experience with Snowflake, BigQuery, Redshift, or similar warehouses.
• Hands-on experience with dbt and orchestration tools like Airflow or Dagster.
• Experience improving pipeline reliability, observability, and system performance.
• Proven ownership of warehouse cost optimization.