Senior Staff Data Platform Engineer

SonderMind Inc.; Philadelphia (Philadelphia County); On-site; USD 180,000 - 200,000; Full time

Benefits offered by this job

Generous PTO

Health insurance

401(k) match

Company-sponsored benefits

Job summary

SonderMind in the United States is hiring a Senior Staff Data Engineer to lead the data platform, designing, building, and evolving data systems that support analytics, ML, and clinical outcomes.

You will own data architecture, enforce quality and observability, and partner with analytics, data science, and product engineering to deliver trusted data. This role requires strong SQL, Python, and experience with scalable pipelines in a regulated healthcare environment.

Qualifications

• 8+ years of data engineering, platform engineering, or backend engineering experience.
• Strong proficiency in SQL and at least one general-purpose programming language (Python strongly preferred).
• Hands-on experience building and maintaining production data pipelines at scale.
• Experience with modern data platforms, cloud data warehouses, orchestration tools, and transformation frameworks.
• Strong understanding of data modeling, pipeline reliability, and system design trade-offs.
• Proven ability to work cross-functionally and translate business needs into technical solutions.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Responsibilities

• Design, build, and maintain core data pipelines and infrastructure powering analytics, experimentation, machine learning and AI use cases across product, clinical, and operations teams.
• Own data architecture decisions related to ingestion, transformation, storage, and serving layers, with a focus on scalability, reliability, cost efficiency, and maintainability.
• Establish and enforce data quality, observability, and reliability standards, including SLAs, monitoring, alerting, and incident response practices for critical datasets.
• Partner closely with analytics, data science, and product engineering teams to understand data needs and translate them into well-designed, reusable data models and pipelines.
• Lead technical initiatives and drive best practices across the data engineering team, including code quality, testing, documentation, and data contracts.
• Ensure data systems meet privacy, security, and compliance requirements, with a strong understanding of handling sensitive mental health and healthcare data.
• Mentor and support other data engineers, providing technical guidance, design feedback, and helping raise the overall engineering bar.
• Support other responsibilities and ad‑hoc projects as needed based on evolving business and platform needs.

Skills

8+ years data engineering

SQL

Python

Production pipelines

Cloud data warehouses

Data modeling

Cross-functional collaboration

Regulated environments

Education

Bachelor’s degree in CS/Engineering or related field

Job description

SonderMind in the United States is hiring a Senior Staff Data Engineer to lead the data platform, designing, building, and evolving data systems that support analytics, ML, and clinical outcomes.

You will own data architecture, enforce quality and observability, and partner with analytics, data science, and product engineering to deliver trusted data. This role requires strong SQL, Python, and experience with scalable pipelines in a regulated healthcare environment.