Enterprise Data Platform Architect

Additional Location(s):  US-MA-Marlborough; US-MN-Arden Hills Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions.        About the role: Boston Scientific was recognized as a Glassdoor Best Place to Work in 2026, ranking No. 15 on the Top 100 list, reflecting the culture our employees experience every day. Boston Scientific is seeking an Enterprise Data Platform Architect to design, govern, and support a shared enterprise data and analytics platform used by multiple projects and product teams. This is a senior hands-on technical role focused on data platform architecture, semantic data modeling, enterprise integration, security, governance, CI/CD, observability, and production support. Work model, sponsorship, relocation: At Boston Scientific, we value collaboration and synergy. This role follows a hybrid work model requiring employees to be in our local office at least three days per week Arden Hills, Minnesota or Marlborough, Massachussets. Boston Scientific will not offer sponsorship or take over sponsorship of an employment visa for this position at this time. Relocation assistance is not available for this position at this time.   Your responsibilities will include: 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. Required 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…