Senior Manager, Software Engineering (Data Architecture)

Location: Chicago, United States

Salary: $150,000–$225,000 per year

Company

hirify.global develops a precision-medicine platform that integrates clinical and molecular data to support cancer research, treatment, and clinical decision-making.

What you will do

• Lead and mentor a small team of data engineers and data architects through design reviews, code reviews, technical guidance, and coaching.
• Own and evolve the enterprise data model integrating clinical records, genomics, NGS laboratory data, and radiology across relational and NoSQL data stores.
• Create and maintain entity-relationship diagrams, data dictionaries, API specifications, and data-translation documentation at conceptual, logical, and physical levels.
• Establish modeling standards, data-quality gates, profiling practices, and methods for resolving structural inconsistencies before downstream use.
• Design data observability with BigQuery, dbt, Elementary, and Grafana, including monitors, alerts, dashboards, lineage, and source traceability.
• Partner with product managers and engineering leads to prioritize work, estimate effort, translate requirements into technical tasks, and advance AI-assisted development with Cursor, Claude, and GitHub Copilot.

Requirements

• Experience leading and mentoring a small team of data engineers and data architects, setting standards, and guiding design in a fast-paced environment.
• Expertise in the modern data stack, particularly dbt, SQL, and Python, with exceptional SQL skills in an enterprise data warehouse.
• Proficiency with AI coding assistants including Cursor, Claude, and GitHub Copilot.
• Strong experience with third normal form and dimensional star-schema modeling, healthcare data standards including FHIR and OMOP, and modeling tools such as Erwin, Vertabelo, or Lucidchart.
• Understanding of ETL/ELT and BI architectures, including the long-term implications of relational, MPP, and NoSQL technologies; experience architecting solutions across more than one of these technologies.
• Practical experience with data observability, including tools such as Elementary and Grafana, plus profiling and correlation analysis for identifying data-integrity problems.
• Domain experience in healthcare and next-generation sequencing, including clinical and genomic data.

Nice to have

• Deep knowledge of Google Cloud Platform and BigQuery architecture.
• Experience modeling NGS data output.
• Experience implementing master data, reference data, or metadata management.

Culture & Benefits

• Work at the intersection of software engineering and cancer research.
• Collaborate in small, autonomous teams of developers, designers, data scientists, and product managers.
• Benefits may include incentive compensation, restricted stock units, medical benefits, and other benefits depending on the position.