Senior Staff Engineer, Data Platform
As a Senior Staff Data Platform Engineer, you will define platform standards, lead cross-domain initiatives, and shape the future of Zocdoc's analytics and data infrastructure. You will ensure the data ecosystem is secure, reliable, compliant, performant, and cost-efficient.
About the job
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.
- Experience implementing secure data access patterns and working in regulated environments.
- Strong communication skills and ability to influence across technical and non-technical stakeholders.
Benefits
- Flexible work environment
- Unlimited Vacation(if salaried) / Competitive PTO (if hourly)
- 100% paid employee health benefit options (including medical, dental, and vision)
- 401(k) with employer funded match
- Corporate wellness program with Wellhub
- Sabbatical leave (for employees with 5+ years of service)
- Competitive paid parental leave and fertility/family planning reimbursement
- Cell phone reimbursement
- Employee Resource Groups and ZocClubs to promote shared community and belonging
- Great Place to Work Certified
Remote Base Salary Range $235,000—$300,000 USD
Silicon Valley, CA Base Salary Range $235,000—$300,000 USD
Skills
SQL, Python, Snowflake, BigQuery, Redshift, dbt, Airflow, Dagster
Similar jobs
Data Engineering jobs
Snowflake
Menlo Park, CA
Leads the design and operation of highly available distributed data platforms and pipelines at Snowflake, while providing technical leadership across teams. Requires 12+ years of distributed-systems experience, cloud expertise, and strong database and system-design depth.
Harvey
San Francisco, CAStaff Software Engineer on the central data platform team, responsible for architecture, ingestion, orchestration, streaming, governance, and self-service data tooling. Requires 10+ years building production data infrastructure and deep experience with warehouses, CDC, streaming, orchestration, Python, and SQL.
Anyscale
San Francisco, CA
Staff Software Engineer responsible for designing and scaling Ray Data’s distributed data-processing infrastructure for large-scale AI training and inference. Requires 6+ years of production software and architectural ownership experience, plus deep distributed-systems expertise and strong Python skills.
Haus
San Francisco, CAStaff-level engineer leading backend services and data-platform architecture, including large-scale ingestion, distributed systems, and trustworthy BigQuery/dbt warehouse models. Requires 10+ years of software engineering experience, expert Python, deep SQL/dbt expertise, and strong technical leadership.
OpenAI
San Francisco, CAAnalytics Engineer supporting Go-to-Market teams by building scalable data models, metrics, pipelines, visualizations, and self-service products. The role requires 10+ years of data experience, deep SQL expertise, Python proficiency, and strong business judgment.