Data Architect Python

### 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](https://himalayas.app)