Job Description
Position title
QVW Technical Architect
Overview
Reporting to QVW Head of Development, we are looking for an Technical Architect to join our team and help drive the Qinecsa Vigilance Workbench (QVW) Saa S platform forward. This role bridges application engineering, cloud infrastructure, and data platforms to deliver secure, high-performance, and resilient systems aligned with business and enterprise architecture standards.
Responsibilities
Define end-to-end architecture for web services, APIs, and data pipelines
Create landscape for existing platform
Act as the technical authority for system design, integration patterns, and platform scalability
Establish architecture standards, design patterns, and best practices
Review and approve solution designs, ensuring alignment with enterprise architecture and security guidelines
Provide hands-on technical guidance to development and data engineering teams
Required Qualifications and Skills
Strong attention to detail
Ability to work independently and multi-task effectively
Excellent written and oral communications skills
Architect cloud-native solutions using AWS, Azure, or GCP
Ensure high availability, disaster recovery, and fault tolerance
Collaborate with Dev Ops and platform teams to implement scalable environments
Partner with product owners, engineering leads, and business stakeholders to translate requirements into architectural solutions
Communicate architectural decisions and trade-offs to technical and non-technical audiences
Support delivery teams through design reviews and technical troubleshooting
Define API standards, versioning, authentication, authorization, and throttling strategies
Ensure service reliability, scalability, and observability (logging, monitoring, tracing)
Support microservices and service-oriented architectures
Integrate third-party and internal systems securely and efficiently
Experience creating secure multi-tier software solutions including avoidance and mitigation patterns for current and previous OWASP top-10
Architect batch and streaming data pipelines
Ensure data quality, lineage, governance, and reliability
Guide the design of data lakes, lakehouses, and data warehouses
Optimize data platforms for performance, cost, and scalability
Preferred Qualifications and Skills
Experience with the following would be considered a plus:
Cloud AWS platform
Experience with Linux and Postgre SQL
User experience design
Experience with Agile and Dev Ops practices
Architecture certifications (TOGAF, AWS/Azure/GCP Architect)
Experience developing Healthcare or Life Sciences Saa S applications and/or building software for regulated environments
Education and Experience
Bachelor’s degree or higher in computer science or a related field from a four-year university
Minimum of 8 years of experience in software engineering or data engineering
Minimum of 3 years in an architecture or senior technical leadership role
Strong experience designing web services and APIs
Deep understanding of data engineering concepts and architectures
Proficiency in SQL and at least one programming language (Java, Python, Scala, or similar)
Experience with distributed systems and cloud-native architectures
QVW Technical Architect
Overview
Reporting to QVW Head of Development, we are looking for an Technical Architect to join our team and help drive the Qinecsa Vigilance Workbench (QVW) Saa S platform forward. This role bridges application engineering, cloud infrastructure, and data platforms to deliver secure, high-performance, and resilient systems aligned with business and enterprise architecture standards.
Responsibilities
Define end-to-end architecture for web services, APIs, and data pipelines
Create landscape for existing platform
Act as the technical authority for system design, integration patterns, and platform scalability
Establish architecture standards, design patterns, and best practices
Review and approve solution designs, ensuring alignment with enterprise architecture and security guidelines
Provide hands-on technical guidance to development and data engineering teams
Required Qualifications and Skills
Strong attention to detail
Ability to work independently and multi-task effectively
Excellent written and oral communications skills
Architect cloud-native solutions using AWS, Azure, or GCP
Ensure high availability, disaster recovery, and fault tolerance
Collaborate with Dev Ops and platform teams to implement scalable environments
Partner with product owners, engineering leads, and business stakeholders to translate requirements into architectural solutions
Communicate architectural decisions and trade-offs to technical and non-technical audiences
Support delivery teams through design reviews and technical troubleshooting
Define API standards, versioning, authentication, authorization, and throttling strategies
Ensure service reliability, scalability, and observability (logging, monitoring, tracing)
Support microservices and service-oriented architectures
Integrate third-party and internal systems securely and efficiently
Experience creating secure multi-tier software solutions including avoidance and mitigation patterns for current and previous OWASP top-10
Architect batch and streaming data pipelines
Ensure data quality, lineage, governance, and reliability
Guide the design of data lakes, lakehouses, and data warehouses
Optimize data platforms for performance, cost, and scalability
Preferred Qualifications and Skills
Experience with the following would be considered a plus:
Cloud AWS platform
Experience with Linux and Postgre SQL
User experience design
Experience with Agile and Dev Ops practices
Architecture certifications (TOGAF, AWS/Azure/GCP Architect)
Experience developing Healthcare or Life Sciences Saa S applications and/or building software for regulated environments
Education and Experience
Bachelor’s degree or higher in computer science or a related field from a four-year university
Minimum of 8 years of experience in software engineering or data engineering
Minimum of 3 years in an architecture or senior technical leadership role
Strong experience designing web services and APIs
Deep understanding of data engineering concepts and architectures
Proficiency in SQL and at least one programming language (Java, Python, Scala, or similar)
Experience with distributed systems and cloud-native architectures
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