Job SummaryWe 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 feasibilitySystem 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 contextHands-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- Translate complex data challenges into clear, actionable insights for non-technical stakeholdersKey Qualifications / Skills- Proven experience as a Data Architect, Senior Data Engineer, or similar- Strong experience working with fragmented or multi-source data environments- Ability to operate in discovery / early-stage product definition, not just implementation- Experience designing scalable data architectures for analytics or decision-support products- Strong communication skills, able to bridge technical and product discussions- Familiarity with data governance, mapping, and data quality challengesTechnical Skills- Strong proficiency in Python and SQL- Experience with cloud-based data platforms (AWS, GCP, or Azure)- Understanding of data pipeline design, ETL/ELT patterns, and distributed systems- Experience with data modelling, schema design, and integration patterns- Exposure to modern data architectures (e.G. medallion, event-driven, or similar) is a plus#J-18808-Ljbffr

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