GenAI-Ready Enterprise Data Platform Architect

Boston Scientific Gruppe; Marlborough (MA); Hybrid; USD 107,000 - 203,000; Full time

Job summary

Boston Scientific seeks an Enterprise Data Platform Architect to design, govern, and support a shared data and analytics platform used across multiple projects. This senior role emphasizes data platform architecture, semantic modeling, and production support.

Hybrid work requires presence in Arden Hills, MN or Marlborough, MA for at least three days weekly. Boston Scientific does not sponsor visas at this time, and relocation assistance is not available.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.
• Minimum 5 years of enterprise data and analytics platforms and enterprise‑scale implementations.
• Experience with semantic data modeling, data pipelines, APIs, and enterprise integrations.
• Proven experience in Python and SQL skills.
• Working knowledge of MCP, including MCP‑based integration patterns, tool connectivity, security, and governance.
• Experience with CI/CD, release management, security, governance, observability, and production support.
• Experience integrating platforms such as Snowflake, AWS, Azure, databases, APIs, and SaaS applications.
• Experience supporting shared platforms used by multiple projects or product teams.
• Willingness to work with some overlap with US business hours.

Responsibilities

• Design and evolve the enterprise data and AI platform for use across multiple teams and projects.
• Define architecture standards for the semantic data model, data pipelines, applications, APIs, and integrations.
• Build reusable platform patterns, templates, APIs, and components to accelerate delivery.
• Design integrations with Snowflake, AWS, Azure, databases, APIs, SaaS platforms, and internal systems.
• Establish platform governance for access controls, security, data protection, auditability, and compliance.
• Define CI/CD, release management, testing, and deployment standards across environments.
• Implement observability through logging, metrics, lineage, alerting, and operational dashboards.
• Provide hands‑on support for production issues, troubleshooting, performance, and root‑cause analysis.
• Guide project teams on platform architecture, best practices, and reusable platform capabilities.
• Partner with Cybersecurity, Data Governance, Enterprise Architecture, and engineering teams.

Skills

Python

SQL

Data modeling

CI/CD

Observability

Production support

MCP

Security governance

Education

Bachelor’s or Master’s degree in CS/Engineering/IT

Tools

Snowflake

AWS

Azure

APIs

SaaS

Job description

Boston Scientific seeks an Enterprise Data Platform Architect to design, govern, and support a shared data and analytics platform used across multiple projects. This senior role emphasizes data platform architecture, semantic modeling, and production support.

Hybrid work requires presence in Arden Hills, MN or Marlborough, MA for at least three days weekly. Boston Scientific does not sponsor visas at this time, and relocation assistance is not available.