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Robert Half Logo Robert Half · IT - Software Development

Data Architect

United States, Needham · Job Posted June 04, 2026
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Job Description

We are looking for an experienced Data Architect to design and enhance modern data solutions for a banking environment in Needham, Massachusetts. This role focuses on building scalable cloud-based data architecture, improving data movement and transformation processes, and enabling reliable access to business-critical information. The ideal candidate brings strong expertise in Azure, Snowflake, Python, and Spark, along with a practical approach to data modeling, integration, and performance optimization.

Job Responsibility

  • Design and maintain enterprise data architecture that supports secure, scalable, and efficient data operations across banking platforms
  • Build and optimize ETL pipelines to ingest, transform, and deliver data from multiple sources into cloud-based analytical environments
  • Develop robust data solutions using Azure services, Snowflake, Python, and Apache Spark to meet business and reporting needs
  • Create data models and architectural standards that improve consistency, accessibility, and long-term maintainability of data assets
  • Partner with engineering, analytics, and business teams to translate data requirements into reliable technical solutions
  • Monitor data platform performance and implement improvements that strengthen processing speed, quality, and system reliability
  • Establish best practices for data governance, documentation, and architecture design to support regulatory and operational expectations
  • Troubleshoot complex data issues and provide technical guidance on integration, transformation, and storage strategies

Requirements

  • 7+ years of experience in data architecture, data engineering, or a closely related technical role
  • Strong hands-on experience with Microsoft Azure and Windows Azure services for cloud-based data solutions
  • Proven expertise in Snowflake for data warehousing, optimization, and large-scale data management
  • Proficiency in Python and Apache Spark for data processing, transformation, and workflow development
  • Solid background in ETL design, implementation, and support for enterprise data environments
  • Experience designing scalable data models and integrating structured and unstructured data sources
  • Ability to work effectively in a regulated industry such as banking or financial services is preferred

Nice to have

Ability to work effectively in a regulated industry such as banking or financial services is preferred

What we offer

  • Medical, vision, dental, and life and disability insurance
  • Enrollment in company 401(k) plan
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