Data Analytics Software Architect at Marsh LLC – Cluj-Napoca | Jobyssey

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.

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X.

Marsh is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

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