Data Architect Python (ESP/UK)

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    "description": "<p><span style=\"font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">Job Summary</span></p>\n<p><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">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.</span></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">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 ideal candidate will be comfortable working in early-stage product environments, balancing technical feasibility with product outcomes, and operating across ambiguous data landscapes.</span></p>\n<p><br></p>\n<p><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">Key Responsibilities</span></p>\n<p><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">Data Architecture &amp; Discovery</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Assess data sources, structures, and quality across multiple systems</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Define data ingestion, mapping, and transformation strategies to unify disparate datasets</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Design target data architecture to support a scalable MVP (e.g. multi-source integration, golden record approach)</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Identify gaps, risks, and constraints in current data that impact product feasibility</span></li>\n</ul>\n<p><br></p>\n<p><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">System Design &amp; Technical Definition</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Define data models, schemas, and integration patterns aligned to product requirements</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Establish approaches for data governance, lineage, and quality management</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Collaborate with product, UX, and engineering to ensure architecture supports user needs and workflows</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Make pragmatic trade-offs between speed, complexity, and scalability in an MVP context</span></li>\n</ul>\n<p><br></p>\n<p><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">Hands-on Delivery &amp; Prototyping</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Work directly with datasets to validate assumptions and inform architecture decisions</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Support prototyping of data flows, pipelines, and transformations</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Contribute to early-stage technical solutions where required (Python, SQL, etc.)</span></li>\n</ul>\n<p><br></p>\n<p><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">Collaboration &amp; Stakeholder Engagement</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Work closely with stakeholders to understand data ownership, constraints, and priorities</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Support user research and validation by ensuring data feasibility aligns with product concepts</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Translate complex data challenges into clear, actionable insights for non-technical stakeholders</span></li>\n</ul>\n<p><br></p>\n<p><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">Key Qualifications / Skills</span></p>\n<p><br></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Proven experience as a Data Architect, Senior Data Engineer, or similar</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Strong experience working with fragmented or multi-source data environments</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Ability to operate in discovery / early-stage product definition, not just implementation</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Experience designing scalable data architectures for analytics or decision-support products</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Strong communication skills, able to bridge technical and product discussions</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Familiarity with data governance, mapping, and data quality challenges</span></li>\n</ul>\n<p><br></p>\n<p><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">Technical Skills</span></p>\n<p><br></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Strong proficiency in Python and SQL</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Experience with cloud-based data platforms (AWS, GCP, or Azure)</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Understanding of data pipeline design, ETL/ELT patterns, and distributed systems</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Experience with data modelling, schema design, and integration patterns</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Exposure to modern data architectures (e.g. medallion, event-driven, or similar) is a plus</span></li>\n</ul>",
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