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Stelle
· Senior
Data Architect Python (ESP/UK)
Software Architect
• Senior
• Remote
• Vollzeit
•
Spanien
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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