NIQ Media is building a config-driven, reproducible media measurement platform spanning audience weighting, cross-media reach & frequency, sales-lift/MME modelling and brand-lift analysis, delivered on a modern cloud-native stack (Angular, Java Spring Boot microservices, AWS/Azure, Kubernetes, Python/PySpark data and AI/ML engines).

The Technical Solution Architect owns the end-to-end technical architecture of the platform: the domain/data-contract model, service and API design, cloud infrastructure, and the boundary between the product/ops shell and the underlying data-science engines.

This person is the final technical authority on build-vs-buy and platform decisions, sets engineering standards across all pods, and ensures the architecture scales from a single reference study to multi-tenant, multi-market operation without core code changes.

This is a hands-on architecture role: the person is expected to prototype, review code, and pair with engineering leads, not just produce diagrams.

KEY RESPONSIBILITIES:

Architecture & Design

- Define and own the overall solution architecture across the Angular UI, Java Spring Boot / microservices backend, and Python/PySpark data & AI engines running on AWS and Azure.
- Design the canonical domain and data-contract model (identity, study, media, exposure, outcome, governance/lineage) and the versioning/compatibility policy for it.
- Define the plugin/extension SDK so new markets, channels and analysis modules can be added by configuration, not core code changes.
- Own key technical decision gates (e.g. orchestration engine choice, build-vs-buy for core algorithmic components, deployment topology) and document them as accepted architecture decisions.

Platform, Cloud & Delivery
- Design the Kubernetes-based deployment topology across AWS and Azure, including workplace strategy, secrets management,



scaling and multi-tenant isolation.
- Define the CI/CD architecture (GitHub / GitHub Actions) and the code-quality and security gates (e.g. SonarQube, Cycode) enforced across all repositories.
- Guide integration of AI-assisted development practices and AI/ML capabilities into the platform and into the engineering team's day-to-day workflow.
- Review designs and code from backend, frontend, data engineering and DevOps pods; act as final escalation point on cross-cutting technical issues.

Leadership & Stakeholder Management
- Translate business and analytics requirements from the SME/Business Analyst into technical designs and work-package breakdowns.
- Partner with the Technology/Delivery Manager on estimation, sequencing and dependency management across the backlog.
- Communicate architectural trade-offs clearly to both technical and non-technical stakeholders, including senior leadership and external partners.
- Mentor engineers across disciplines and raise the technical bar of the team.

Qualifications: REQUIRED QUALIFICATIONS & EXPERIENCE

- 9+ years of software engineering experience, including 3+ years in a solution/technical architect role for cloud-native, data-intensive platforms.
- Proven hands-on experience designing microservice architectures with Java / Spring Boot, and modern SPA frontends (Angular preferred).
- Strong working knowledge of AWS and/or Azure, containerisation and orchestration with Kubernetes,



and CI/CD pipelines (GitHub Actions or equivalent).
- Practical experience with Python-based data engineering and/or data science pipelines (e.g. PySpark, big-data processing) and how they integrate with service-based platforms.
- Experience designing multi-tenant, config-driven platforms (as opposed to per-customer custom builds).
- Demonstrated experience embedding code quality and security tooling (e.g. SonarQube, Cycode or equivalents) into engineering workflows.
- Excellent written and verbal communication skills; comfortable presenting architecture decisions to executive and non-technical stakeholders.

PREFERRED / NICE-TO-HAVE

- Experience in media measurement, market research, advertising analytics, or adtech domains.
- Familiarity with statistical/ML modelling concepts (e.g. regression-based lift models, weighting/raking methods) even if not personally building them.
- Experience integrating AI copilots / AI-assisted development tooling into a professional engineering practice.
- Prior experience leading offshore/distributed engineering teams through onboarding and ramp-up.
- Relevant certifications (AWS/Azure Solutions Architect, CKA, TOGAF or similar).

CORE SKILLS

- Solution & enterprise architecture, API and microservices design, event-driven and batch data architectures.
- Java / Spring Boot, Angular/TypeScript, Python (working proficiency, not necessarily daily coding).
- AWS, Azure, Kubernetes, Docker, Infrastructure-as-Code.
- GitHub, GitHub Actions, SonarQube, Cycode (or comparable code quality/security tooling).
- Strong systems thinking, documentation discipline, and stakeholder communication.

Additional Information

Our Benefits

- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)

📌 Principal Solution Architect- API (Pune)
🏢 NIELSENIQ INDIA
📍 Pune