Data Architect, Python

🕒 May 5

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Parser

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

Parser is a technology solutions company that elevates organizations through innovative AI-driven strategies and expert engineering services. The company partners with technology leaders to achieve key business goals, focusing on adaptability, customization, and collaboration. With a commitment to fostering innovation and long-term partnerships, Parser delivers comprehensive solutions in software engineering, AI and data utilization, product design, and digital transformation consulting.

📋 Description

• 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 • 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 • 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.) • 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

🎯 Requirements

• 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