About the role

  • Data Solution Architect part of Data Architecture & Modeling team at major Asset Management firm. Involves capturing workflows, designing data models, and collaborating with stakeholders.

Responsibilities

  • Partner with bankers and business leaders to capture workflows and define data domains.
  • Design and maintain logical and semantic data models aligned with enterprise architecture.
  • Develop business-ready datasets using SQL, Python, and Databricks.
  • Collaborate with data engineers on ingestion, transformation, and enrichment of data.
  • Prototype and validate models before production implementation.
  • Present data models and insights to stakeholders, ensuring alignment between business and technology.

Requirements

  • 5–8 years of experience in data architecture, solution design, or data-driven business roles (financial services or consulting preferred).
  • Strong proficiency in SQL, Python (including PySpark), and Databricks or similar platforms.
  • Deep understanding of data modeling, semantics, and master data management (MDM).
  • Familiarity with ETL/ELT, APIs, and data integration patterns.
  • Excellent communication skills and ability to translate complex concepts across teams.
  • Organized, proactive, and comfortable balancing strategic design with hands-on execution.

Benefits

  • Flexible work from home options

Job title

Data Solution Architect

Job type

Experience level

Mid levelSenior

Salary

$80 - $100 per hour

Degree requirement

Bachelor's Degree

Location requirements

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