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.
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