Senior AWS Data Architect - Enterprise Data Modernization

ValueMomentum, Inc.; Pennsylvania; On-site; USD 170,000 - 210,000; Full time

Job summary

ValueMomentum is seeking an experienced AWS Data Solution Architect to lead the design, modernization, and implementation of scalable, cloud-native data platforms in the United States. This senior role requires hands-on delivery experience and a future-focused mindset to drive enterprise data transformation initiatives.

You will collaborate with business stakeholders, data engineering teams, and leadership to define data strategies, modern architectures, and execution roadmaps that align

Qualifications

• 14+ years of experience in data architecture and data engineering roles.
• Strong experience in the Property & Casualty (P&C) insurance domain, including insurance data architecture, data modeling, and end-to-end data solutions.
• Proven experience as an AWS Data Solution Architect.
• Deep hands-on expertise with AWS data services.
• Strong understanding of data Modeling, ETL/ELT, and analytics platforms.
• Experience modernizing large-scale, complex data environments.
• Excellent communication and stakeholder management skills.

Responsibilities

• Lead the design, modernization, and implementation of scalable, cloud-native data platforms.
• Collaborate with business stakeholders, data engineering teams, and leadership to define data strategies, modern architectures, and execution roadmaps.

Skills

Data architecture

Data engineering

Stakeholder management

Communication

Architectural leadership

Data modeling

ETL/ELT

AWS data services

Tools

AWS services

Job description

ValueMomentum is seeking an experienced AWS Data Solution Architect to lead the design, modernization, and implementation of scalable, cloud-native data platforms in the United States. This senior role requires hands-on delivery experience and a future-focused mindset to drive enterprise data transformation initiatives.

You will collaborate with business stakeholders, data engineering teams, and leadership to define data strategies, modern architectures, and execution roadmaps that align