Data Analytics Software Architect

We will count on you to:

Be ahands-on product builderwho leads by example and helps drive delivery of the organization’s goals

Drive tactical plans to implementProduct Ecosystemstrategies defined by Enterprise Architects

Own and shape theunderlying architectureof 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 betweenSoftware Engineering,Enterprise Architecture, andmanagement—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, includingAgentic AIsolutions, applying AI to real business use cases with appropriate governance and lifecycle considerations

What you need to have:

Excellent written and verbal communication skills inRomanian and English

Proven experience as aLead or Senior Engineerworking acrossmultiple 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 withcloud-native architecturesand modern engineering practices, including:

Agile at Scale, Lean, Continuous Delivery

CI, TDD, Infrastructure as Code

CI/CD and DevOps practices, includingQuality Gatesto maintain code standards

Proven experience withsecurity-driven designpractices and remediation ofSAST/DASTfindings

Strong SDLC knowledge and experience using tools such asConfluence, Jira, Azure DevOps (ADO), GitHub(or equivalents)

Technical skills / qualifications required

Experience designing and deploying applications on cloud infrastructure such asAWS and Microsoft Azure

Demonstrable experience architecting moderndata 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 withML/AI solution architecture, including model lifecycle, deployment patterns, and governance

Demonstrable experience building or architectingAgentic AIsolutions 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 testingandintegration 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 corporate.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.