Senior Enterprise Data Platform Architect (Hybrid)

Boston Scientific; Arden Hills (MN); Hybrid; USD 107,000 - 203,000; Full time

Job summary

Boston Scientific is hiring an Enterprise Data Platform Architect to design, govern, and support a shared data and analytics platform used by multiple teams. The role is senior and hands-on, focusing on data platform architecture, semantic modeling, governance, CI/CD, observability, and production support.

You will define standards, build reusable patterns, and integrate with Snowflake, AWS, Azure, and internal systems while partnering with cybersecurity and enterprise architecture teams.

Qualifications

• Bachelor’s or Master’s degree in CS/Engineering/IT.
• 5+ years in enterprise data & analytics platforms.
• Experience with semantic data modeling, data pipelines, APIs, integrations.
• Proven experience in Python and SQL skills.
• Knowledge of MCP (Model Context Protocol) and MCP-based integration patterns, tool connectivity, security, governance.
• Experience with CI/CD, release management, security, governance, observability, production support.
• Experience integrating 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 semantic data model, data pipelines, 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 dashboards.
• Provide hands-on production support for issues, performance, and root-cause analysis.
• Guide project teams on platform architecture, best practices, and reusable capabilities.
• Partner with Cybersecurity, Data Governance, Enterprise Architecture, and engineering teams.

Skills

Python

SQL

Education

Bachelor’s or Master’s degree in Computer Science/Engineering/IT

Tools

Snowflake

AWS

Azure

APIs

SaaS

Job description

Boston Scientific is hiring an Enterprise Data Platform Architect to design, govern, and support a shared data and analytics platform used by multiple teams. The role is senior and hands-on, focusing on data platform architecture, semantic modeling, governance, CI/CD, observability, and production support.

You will define standards, build reusable patterns, and integrate with Snowflake, AWS, Azure, and internal systems while partnering with cybersecurity and enterprise architecture teams.