Data Architect, Python

This is a fully remote position, open to applicants in Spain.

📋 Description

• Evaluate data sources, structures, and quality across various systems.

• Develop strategies for data ingestion, mapping, and transformation to integrate diverse datasets.

• Create a target data architecture to facilitate a scalable MVP, incorporating multi-source integration and a golden record approach.

• Identify gaps, risks, and constraints within current data that may affect product feasibility.

• Define data models, schemas, and integration patterns that align with product requirements.

• Establish methodologies for data governance, lineage, and quality management.

• Collaborate with product teams, UX, and engineering to ensure the architecture meets user needs and workflows.

• Make practical trade-offs between speed, complexity, and scalability in the context of an MVP.

• Work directly with datasets to validate assumptions and guide architectural decisions.

• Assist in prototyping data flows, pipelines, and transformations.

• Contribute to initial technical solutions as needed (e.g., Python, SQL).

• Engage closely with stakeholders to comprehend data ownership, constraints, and priorities.

• Facilitate user research and validation by ensuring data feasibility corresponds with product concepts.

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

⛳️ Requirements

• Demonstrated experience as a Data Architect, Senior Data Engineer, or a related role.

• Extensive experience working in fragmented or multi-source data environments.

• Capability to function in discovery and early-stage product definition, rather than solely in implementation.

• Proven experience in designing scalable data architectures for analytics or decision-support products.

• Excellent communication skills, able to facilitate discussions between technical and product teams.

• Knowledge of data governance, mapping, and data quality challenges.

🏝️ Benefits

• Opportunity to work on impactful projects.

• Collaborative and innovative work environment.

• Professional development and growth opportunities.