Senior Data Architect

MINT is the leader in Advertising Resource Management (ARM) software, driving marketing transformation in the age of agentic AI. At the core of our innovation is an open enterprise platform that deploys autonomous AI agents to augment human teams across the marketing and advertising value chain, connecting marketing performance with enterprise growth and real business impact.

Thanks to a diverse team of over 300 professionals worldwide, we integrate technology, data, and agentic intelligence to redefine how global brands and agencies plan, execute, and optimize their advertising investments.

With the recent acquisitions of technology leaders Redmill Solutions and info³, MINT has further expanded its unified ecosystem, completing the long-awaited connection of media planning, buying, and execution within one intelligent environment.

The Role

We are looking for a Senior Data Architect — a strategic, hands-on, and forward-thinking leader passionate about reshaping complex data ecosystems, who will drive the transformation of our ARM platform by unifying multi-tenant data models, enabling scalability at growing volumes, and designing a foundation for future modules such as Financial Operations and Compliance.

This is a consultancy engagement, not an employment contract. The selected consultant will work independently, bringing their specialized knowledge and experience to our projects.

What you'll be doing:

Target Architecture Definition

• Conduct a comprehensive audit of the existing data landscape
• Assess current data models, data flows, and technical gaps (scalability, consistency, traceability)
• Evaluate build vs. refactor vs. reuse strategies for ARM 2.0
• Define target architecture principles aligned with product and business goals

Unified Data Modelling

• Design a shared, scalable multi-tenant data model
• Enable deep client configurability without fragmenting the core schema

Orchestration Architecture

• Architect APIs, event-driven systems, and caching layers
• Design end-to-end data flows (inbound and outbound) across multiple data sources and media platforms
• Ensure full traceability of media investments across the value chain (planning → buying → finance → reconciliation)
• Guarantee performance, consistency, and seamless integrations (e.g., SAP/ERP, third-party media tools)

AI/ML Foundations

• Prepare the platform for advanced analytics and AI-driven capabilities
• Support use cases such as: Media data quality scoring, anomaly detection, allocation recommendations, incentives management

This role will be a great fit if you have:

• Strong experience in data architecture for B2B multi-tenant platforms
• Proven ability to design highly configurable systems without compromising data integrity
• Solid understanding of trade-offs between normalization, performance, and maintainability
• Experience working with complex data ecosystems and integrations
• Familiarity with media, advertising, or adtech ecosystems (agencies, media buying, platforms) is a plus

We would also appreciate:

• Advanced data modelling (conceptual, logical, physical)
• API and modular data services design
• ERP integrations
• MDM and multi-tenant architecture
• Cloud data platforms
• Data governance and privacy-by-design
• Applied ML experience

Interview Process

Candidates can expect the following steps in our interview process:

• HR Video Interview (30 minutes): A virtual interview with HR to provide an overview of the company and the role, as well as to gain insight into your experience and background.
• Technical Interview with Tech team (1 hour): A virtual interview with the VP Engineering or other Team members, focused on your technical expertise, past experience, and problem-solving approach.
• Final Interview with the CPTO (30 min)
• Offer: after completing the interview process, successful candidates will receive an offer.

MINT is committed to a diverse and inclusive workplace. MINT AI is an equal opportunity employer and does not discriminate on the basis of age, race, religion, color, national origin, gender, gender identity, gender expression, sexual orientation, immigration status, medical condition, protected veteran status, disability, genetic information, political views or activity, or other legally protected status.