Data Architect Python (ESP/UK)

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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 ideal 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

• Translate complex data challenges into clear, actionable insights for non-technical stakeholders

Key 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 challenges

Technical 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

Originally posted on Himalayas