Data Architect, Python
Job Description
We are looking for a Data Architect to lead data architecture for a new data-driven product. In this role, you will assess data sources, structures, and quality across multiple systems. You will define data ingestion, mapping, and transformation strategies to unify disparate datasets. Design the target data architecture to support a scalable MVP, including multi-source integration and a golden record approach. Identify any gaps, risks, and constraints in current data that impact product feasibility. You will also be responsible for: - Defining data models, schemas, and integration patterns aligned to product requirements. - Establishing approaches for data governance, lineage, and quality management. - Collaborating with product, UX, and engineering teams to ensure the architecture supports user needs and workflows. - Making pragmatic trade-offs between speed, complexity, and scalability in an MVP context. - Working directly with datasets to validate assumptions and inform architectural decisions. - Supporting prototyping of data flows, pipelines, and transformations. - Contributing to early-stage technical solutions using Python and SQL. - Working closely with stakeholders to understand data ownership, constraints, and priorities. - Supporting user research and validation by ensuring data feasibility aligns with product concepts. - Translating complex data challenges into clear, actionable insights for non-technical stakeholders.
Qualifications
We are looking for someone with: 1. Proven experience as a Data Architect, Senior Data Engineer, or similar role. 2. Strong experience working with fragmented or multi-source data environments. 3. Ability to operate in discovery / early-stage product definition, not just implementation. 4. Experience designing scalable data architectures for analytics or decision-support products. 5. Strong communication skills, with the ability to bridge technical and product discussions. 6. Familiarity with data governance, mapping, and data quality challenges.
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