Job Summary
We are looking for an experienced Data Architect to lead the definition of data architecture for a new, data-driven product. This role will focus on assessing, structuring, and integrating fragmented datasets (rankings, submissions, engagement data) to enable a scalable, decision-support platform for in-house legal teams.
The role combines hands-on data analysis with architectural design, shaping how data is ingested, mapped, transformed, and governed to support a viable MVP. The idóneo candidate will be comfortable working in early-stage product environments, balancing technical feasibility with product outcomes, and operating across ambiguous data landscapes.
Key Responsibilities Data Architecture & Discovery
- Assess data sources, structures, and quality across multiple systems
- Define data ingestion, mapping, and transformation strategies to unify disparate datasets
- Design target data architecture to support a scalable MVP (e.G. multi-source integration, golden record approach)
- Identify gaps, risks, and constraints in current data that impact product feasibility





System Design & Technical Definition
- Define data models, schemas, and integration patterns aligned to product requirements
- Establish approaches for data governance, lineage, and quality management
- Collaborate with product, UX, and engineering to ensure architecture supports user needs and workflows
- Make pragmatic trade-offs between speed, complexity, and scalability in an MVP context

Hands-on Delivery & Prototyping
- Work directly with datasets to validate assumptions and inform architecture decisions
- Support prototyping of data flows, pipelines, and transformations
- Contribute to early-stage technical solutions where required (Python, SQL, etc.)

Collaboration & Stakeholder Engagement
- Work closely with stakeholders to understand data ownership, constraints, and priorities
- Support user research and validation by ensuring data feasibility aligns with product concepts
- Tra

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