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Data Architect Python (ESP/UK)

Software Architect • Senior • Remote • Full-time Spain Spain

Lead the definition of data architecture for a new, data-driven decision-support platform for in-house legal teams, integrating fragmented datasets (rankings, submissions, engagement data) to support a scalable MVP.

Responsibilities

  • 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
  • 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
  • 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.)
  • 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 stakeholders

Requirements

  • 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 challenges
  • 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

Nice to have

  • Exposure to modern data architectures (e.g. medallion, event-driven, or similar)

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