9 days ago

Data Architect Python

Parser

Hybrid
Full Time
$150,000
Hybrid
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Job Overview

Job TitleData Architect Python
Job TypeFull Time
Offered Salary$150,000
LocationHybrid
Map of Hybrid

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Job Description

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

Key skills/competency

  • Data Architecture
  • Python
  • SQL
  • Data Ingestion
  • Data Transformation
  • Data Governance
  • Cloud Data Platforms
  • Data Modeling
  • ETL/ELT
  • Distributed Systems

Tags:

Data Architect
Python
SQL
Data Engineering
Data Modeling
ETL
ELT
Cloud Data Platforms
AWS
GCP
Azure
Distributed Systems
Data Governance
Data Quality
Decision Support Systems
MVP Development
Early Stage Product

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How to Get Hired at Parser

  • Tailor your resume: Highlight experience in data architecture and Python for data-driven products.
  • Showcase relevant projects: Detail your work with fragmented datasets and cloud platforms.
  • Prepare for technical questions: Be ready to discuss Python, SQL, ETL/ELT, and data modeling.
  • Demonstrate collaboration: Emphasize your ability to work with product and engineering teams.
  • Understand the product: Research Parser's goals for this data-driven initiative.

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