We are seeking a talented individual to join our team for Marsh Technology. This role will be based in Cluj-Napoca. This is a hybrid role that has a requirement of working at least three days a week in the office.
The Data Analytics Software Architect is part of a strategic group of engineers who embody best practice, quality, and our engineering vision. You will be a visible technical leader and role model within the engineering community—combining hands-on delivery with architecture ownership to help build secure, reliable, scalable, and data-driven solutions, including modern AI-enabled capabilities (including Agentic AI solutions).
As Data Analytics Software Architect you will translate enterprise architecture strategy into practical technical direction, ensure high engineering standards across the codebase, and help teams deliver high-quality outcomes at pace.
We will count on you to:
Be a hands-on product builder who leads by example and helps drive delivery of the organization’s goals
Drive tactical plans to implement Product Ecosystem strategies defined by Enterprise Architects
Own and shape the underlying architecture of the Product Ecosystem, ensuring it is scalable, secure, and maintainable
Maintain high standards of engineering quality by setting good practices, habits, and guardrails (including AI-assisted delivery patterns)
Act as the interface between Software Engineering, Enterprise Architecture, and management—ensuring alignment and clarity
Oversee technical delivery across teams, providing guidance to Lead and Senior Software Engineers and supporting their development plans
Design detailed solution architectures collaboratively with Enterprise Architects and engineers (backend and frontend, depending on project needs)
Facilitate group collaboration and ensure broad involvement in design and key technical decisions
Review designs and technical decisions with the architecture group and provide constructive feedback
Guide development techniques and methodologies (Agile at Scale, Lean, CI/CD, TDD, Infrastructure as Code)
Drive continuous improvement by proposing and implementing processes, designs, and engineering practices that improve delivery effectiveness
Track progress against wider engineering goals and communicate status transparently to engineers, Enterprise Architects, and management
Research and evaluate new technologies, tools, and approaches that benefit the organization
Contribute to thought leadership and strategy across the Software Engineering organization
Build cloud-based data and analytics solutions, including Agentic AI solutions, applying AI to real business use cases with appropriate governance and lifecycle considerations
What you need to have:
Excellent written and verbal communication skills in Romanian and English
Proven experience as a Lead or Senior Engineer working across multiple products, ready to operate at Architect level
Strong ability to communicate effectively with both technical and non-technical stakeholders in a cross-functional environment
Proven track record delivering software across a broad mix of languages, technologies, and platforms
Strong leadership and people skills with the ability to build collaborative, innovative teams; coaching/mentoring mindset with a focus on career pathways
Experience with cloud-native architectures and modern engineering practices, including:
Agile at Scale, Lean, Continuous Delivery
CI, TDD, Infrastructure as Code
CI/CD and DevOps practices, including Quality Gates to maintain code standards
Proven experience with security-driven design practices and remediation of SAST/DAST findings
Strong SDLC knowledge and experience using tools such as Confluence, Jira, Azure DevOps (ADO), GitHub (or equivalents)
Technical skills / qualifications required
Experience designing and deploying applications on cloud infrastructure such as AWS and Microsoft Azure
Demonstrable experience architecting modern data and analytics platforms, including:
Data warehousing
Data engineering and orchestration
Streaming
BI and reporting
Integration platforms
Strong understanding of data platform concepts: data warehouses, data lakes/lakehouses, ETL/ELT, streaming, semantic modeling, BI architecture.
Practical experience with ML/AI solution architecture, including model lifecycle, deployment patterns, and governance
Demonstrable experience building or architecting Agentic AI solutions and applying AI to real business use cases
Broad programming experience with in-depth skills in:
JavaScript, TypeScript, C#
Frameworks: Angular, .NET, Less/Sass, gRPC
Strong testing discipline: unit testing and integration testing (essential)
Strong experience with containers and platforms: Docker, Kubernetes
Strong engineering fundamentals: refactoring, design patterns, design-driven development, continuous integration, system/application design, application security
Strong experience with ORM frameworks and databases including:
MSSQL (T-SQL)
NoSQL (MongoDB)
Middleware experience is desirable: RabbitMQ, MassTransit.
Why join our team:
We help you be your best through professional development opportunities, interesting work, and supportive leaders;
We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have an impact for colleagues, clients, and communities;
Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being;
A yearly budget and the opportunity to build your flexible benefits package (up to 20% of your annual salary);
30+ days off (including legal days, birthday, public holiday replacements, and benefits options);
Performance bonus scheme;
Matching charity contributions, charity days off, and the Pay it Forward charity challenge;
Core benefits: Pension, Life and Medical Insurance, Meal Vouchers, Travel Insurance.
Skills Required
- Excellent written and verbal communication skills in Romanian and English
- Proven experience as a Lead or Senior Engineer operating at Architect level across multiple products
- Experience designing and deploying applications on AWS and Microsoft Azure
- Demonstrable experience architecting modern data and analytics platforms (data warehousing, data engineering and orchestration, streaming, BI, integration)
- Strong understanding of data platform concepts: data warehouses, data lakes/lakehouses, ETL/ELT, streaming, semantic modeling, BI architecture
- Practical experience with ML/AI solution architecture, model lifecycle, deployment patterns, and governance
- Demonstrable experience building or architecting Agentic AI solutions
- Broad programming experience with in-depth skills in JavaScript, TypeScript, and C#
- Framework experience: Angular, .NET, Less/Sass, gRPC
- Strong testing discipline: unit testing and integration testing
- Experience with containers and platforms: Docker and Kubernetes
- Experience with ORM frameworks and databases including MSSQL (T-SQL) and MongoDB
- Proven experience with security-driven design practices and remediation of SAST/DAST findings
- Experience with CI/CD, DevOps practices, Infrastructure as Code, Agile at Scale, Lean, Continuous Delivery, TDD
- Experience using tools such as Confluence, Jira, Azure DevOps (ADO), and GitHub
- Middleware experience (RabbitMQ, MassTransit)
Marsh McLennan Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Marsh McLennan and has not been reviewed or approved by Marsh McLennan.
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Leave & Time Off Breadth — Leave offerings are described as generous, including sizable PTO, paid holidays, paid sick days, and additional time off such as paid volunteer time and “Summer days.” These time-off benefits are portrayed as a standout part of the overall rewards package.
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Healthcare Strength — Healthcare coverage is characterized as comprehensive, spanning medical, dental, and vision options, with additional supports like disability and life insurance and access to mental health resources and an EAP. The breadth of plan options is positioned as a core strength of the benefits package.
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Retirement Support — Retirement benefits are framed as solid, with 401(k) programs and employer matching frequently highlighted alongside other financial programs. Stock purchase options are also referenced as an additional wealth-building component of the total rewards mix.
Marsh McLennan Insights
What We Do
Marsh McLennan (NYSE: MMC) brings together nearly 78,000 experts in risk, strategy, and people across Marsh, Guy Carpenter, Mercer, and Oliver Wyman, serving clients in over 130 countries. Marsh enables enterprise worldwide by helping clients manage risks, transforming uncertainty into opportunity. Guy Carpenter helps clients grow profitably with reinsurance broking expertise, advisory services, and advanced analytics. Mercer helps organizations advance the health, wealth, and careers of their most vital asset — their people. Oliver Wyman’s expertise in strategy, operations, risk, and organization transformation changes what is possible for our clients, their industries, and society. Together, we combine a unique range of capabilities to help our clients solve problems, seize opportunities, and build lasting success in increasingly complex operating environments.








