The Company
Qventus is a real-time decision making platform for hospital operations. Our mission is to simplify how healthcare operates, so that hospitals and caregivers can focus on delivering the best possible care to patients. We use artificial intelligence and machine learning to create products that help nurses, doctors, and hospital staff anticipate issues and make operational decisions proactively.
Qventus works with leading public, academic and community hospitals across the United States. The company was recognized by the 2019 Black Book Awards in healthcare for patient flow and by CB Insights as a 2019 top 100 Most Promising Company in Artificial Intelligence. Recently, Qventus won the Robert Wood Johnson Foundation Emergency Response for the Healthcare System Innovation Challenge through its work helping health systems across the country plan for and operate in the COVID pandemic.
The role
Qventus is looking for a Data Platform Architect to lead the next generation of our data platform. Our Data team ensures that Qventus data users have the tools and data they need to explore and power the Qventus product at scale and cost. This includes bidirectional integration with hospital EMR sources via multiple channels (FHIR), complex highly secure (HIPAA) transformations capable of normalizing information across various workflows and client nuances, integration with multiple third party datasets from customer data to big-data claims, and more. Our products span the machine learning based orchestrations, real time hospital reporting, analytical insights, and interactive applications needed to improve the lives of patients and doctors across the country.
As a Data Platform Architect, you will design and lead execution on data platform architecture - to collect and connect data across the organization to data self-sufficiency & impactful data intensive products. You will be comfortable identifying, designing and leading cross-functional initiatives to improve the data ecosystem with a strong understanding of the trade offs. You will be motivated and excited to have an impact on the team and in the company and to improve the quality of healthcare operations.
Key Responsibilities
Lead identification, design, and execution of critical improvements to our platform to maintain overall system health and functionality in support of evolving platform requirements and data user needs (incl. significant technology migrations)
Work with senior engineering leaders and data users across the organization to define & communicate the technical vision and strategy for the data platform
Establish & enforce processes, tooling, and best practices for effective data observability (quality metrics/monitoring, metadata, lineage etc.) & governance (dataset lifecycle management,
Provide expertise on the overall data engineering best practices, standards, architectural approaches and complex technical resolutions
Facilitate the growth and development of senior team members by actively providing hands-on technical guidance and fostering a collaborative work environment.
Key Qualifications
Strong cross-functional communication - ability to break down complex technical components for technical and non-technical partners alike
Expertise with a diverse set of modern data/DB technologies and their relative capabilities and use cases (experience with a variety of data lake & streaming technologies required - Spark, Databricks, Kafka etc.)
5+ years of experience designing, building, and operating cloud-based, highly available, observable, and scalable data platforms utilizing large, diverse data sets in production to meet ambiguous business needs
2+ years managing and leading technical architecture decisions and design
Interest in mentoring and supporting new developers
Nice to Have Skills
Experience defining data engineering/architecture best practices at a department and organizational level and establishing standards for operational excellence and code and data quality at a multi-project level
Experience defining and managing data governance programs (incl. Defining dataset lifecycles etc.)
Experience developing data science models and advanced statistics
Degree in Computer Science, Engineering, or related field
Experience working with healthcare data and HIPAA data protection
We consider several factors when determining compensation, including location, experience, and other job-related factors.
Salary Range: $170,000 to $200,000 annually + equity + benefits- Qventus expects to hire for this position near the middle of the range. Only in truly rare or exceptional circumstances where a candidate's experience, credentials, or expertise far exceed those required or expected will we consider and offer at the top of the salary range.
Qventus offers a competitive benefits package including medical, dental, vision, paid time off, company holidays, and a stock option plan.
Qventus is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
Candidate information will be treated in accordance with our candidate privacy notice which can be found here: https://qventus.com/ccpa-privacy-notice/
This position does not provide visa sponsorship.
Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test.
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