Company Description
We're Nagarro.
We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18 000+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!
By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.
Job Description
We are seeking a highly experienced solution architect with expertise in application development, data engineering, BI reporting, cloud services along with hands-on experience in AI/ML-driven analytics. This role will architect scalable solutions across projects within Nagarro's Life Sciences Business Unit, while actively contributing to proposal building, bid preparation, and client presentations for global clients.
System Design & Architecture
- Define overall system architecture (microservices, event-driven, etc.)
- Choose technology stack (languages, frameworks, databases)
- Create high-level design diagrams and technical specifications Leverage AI in the solution proposals
Technical Leadership
- Guide development teams on best practices, inlcuding usage of AI Review code and ensure architectural alignment
Non-Functional Requirements
- Ensure system meets: Scalability, Performance, Security, Reliability
- Define standards for logging, monitoring, and error handling
Stakeholder Collaboration
- Work with:Product and Project managers, Business stakeholders, DevOps and QA Management
- Translate business requirements into technical solutions
Governance & Standards
- Define coding standards and architectural guidelines, considering AI processes
- Ensure consistency across multiple teams or services
Risk Management
- Identify technical risks early
- Make trade-offs between cost, speed, and quality
Qualifications
Core & Technical Skills:
- 15+ years of experience working within the IT domain with a technical background in software engineering and data analytics.
- Strong knowledge of solution architecture for data analytics, BI, cloud, and application development purposes.
- Hands-on expertise in cloud services, BI and data integration tools.
- Application Development: background with Python, Java, or .NET, for data-heavy applications.
- Previous exposure to IT projects within the Life Sciences industry or similar highly regulated environments.
Business & Pre-Sales Skills:
- Experience with proposal development, bid preparation, and solution presentation.
- Excellent communication skills to engage with C-level life sciences stakeholders.
- Ability to translate technical solutions into business outcomes.
- Fluent in English.
