As a Sr Manager, you will be the primary guardian of data reliability and a mentor to a high-performing engineering squad. You are a "Data Reliability Engineer" who ensures that our complex multi-modal datasets-spanning clinical records, genomics and radiology -are accurate, traceable, and ready for high-stakes applications like machine learning and clinical decision-making.In this leadership capacity, you will manage a small team of engineers leveraging cutting-edge AI-assisted development tools to accelerate delivery.
What You'll Do- Team Leadership & Mentorship: Lead and manage a small, agile team of software engineers. Conduct code reviews, provide technical guidance, and foster a culture of excellence in data quality and engineering best practices.
- DBT Testing & Quality Gates: Architect and implement a comprehensive testing suite within DBT. Design and enforce data quality gates in the CI/CD and ETL pipeline to ensure that only high-integrity data reaches production environments.
- Deep Data Analysis & Profiling: Perform exhaustive data profiling and deep-dive analyses using SQL and Python to evaluate completeness, identify hidden patterns, and resolve structural inconsistencies.
- Product Strategy & Planning: Collaborate directly with Product Managers and other Team Leads to develop and prioritize the product backlog. You will be responsible for identifying work estimates and refining complex requirements into actionable technical tasks.
- Modern Data Stack & Observability: Architect and implement robust observability frameworks using BigQuery, DBT, Elementary, and Grafana to create real-time monitors, alerts, and dashboards that track the health and lineage of our data ecosystem.
- AI-Driven Development: Champion the use of AI productivity tools-such as Cursor, Claude, and GitHub Copilot-to streamline development, automate testing, and refactor legacy data pipelines efficiently.
- Statistical Insights & KPIs: Define and report on key Data Quality KPIs (e.g., freshness, volume, and schema changes) using correlation and trend analysis to provide platform-wide transparency.
- Advanced Data Modeling: Manage an enterprise data model integrating multiple domains (Clinical, NGS, Radiology) across relational and NoSQL technologies.
Why We're Looking for You- Technical Proficiency: You are an expert in the modern data engineering stack, specifically DBT, SQL, and Python.
- Leadership Experience: You have a proven track record of leading or mentoring a small team of engineers in a fast-paced environment.
- Observability & AI Savvy: You have hands-on experience with observability tools (e.g., Elementary, Grafana) and are proficient in leveraging AI coding assistants (Cursor, Claude, Copilot) to enhance team velocity.
- Domain Expertise: You have a strong background in healthcare and next-generation sequencing (NGS) data.
- Analytical Powerhouse: You use data profiling and correlation analysis to solve complex data integrity problems.
- Communication: Ability to translate technical data quality gaps into actionable insights for both internal developers and external stakeholders.
Chicago: $150,000 - $210,000
NY/SF: $175,000 - $225,000
The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California, Colorado, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.
