Pay
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Arden Hills, MN, US
Live, first seen by us 74 days agoRequisition ID: 633602 Minimum Salary: $106800 Maximum Salary: $202900
Minimum Salary: $106800 Maximum Salary: $202900 The anticipated compensation listed above and the value of core and optional employee benefits offered by Boston Scientific (BSC) – see www.bscbenefitsconnect.com—will vary based on actual location of the position and other pertinent factors considered in determining actual compensation for the role. Compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, among other relevant business or organizational needs. At BSC, it is not typical for an individual to be hired near the bottom or top of the anticipated salary range listed above.Read the full posting
Employment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
Boston Scientific will not offer sponsorship or take over sponsorship of an employment visa for this position at this time
Boston Scientific was recognized as a Glassdoor Best Place to Work in 2026, ranking No.
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.
Design and evolve the enterprise data and AI platform for multiple teams
Define architecture standards for semantic data models, pipelines, APIs, and integrations
Establish platform governance for access, security, data protection, and compliance
Provide hands-on support for production issues and root-cause analysis
Guide project teams on platform architecture and reusable capabilities
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.
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.
Establish platform governance for access controls, security, data protection, auditability, and compliance.
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.
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 experience in Python and SQL skills. * Working knowledge of Model Context Protocol (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. * Experience working with enterprise data platforms in healthcare, life sciences, or medical technology. * Experience partnering with Quality, Regulatory, or Compliance teams and working within a Quality Management System (QMS), including practical knowledge of data integrity, traceability, validation, change control, and audit readiness. * Willingness to work with some overlap with India business hours. Preferred qualifications:
Maximum Salary: $202900 The anticipated compensation listed above and the value of core and optional employee benefits offered by Boston Scientific (BSC) – see www.bscbenefitsconnect.com—will vary based on actual location of the position and other pertinent factors considered in determining actual compensation for the role. Compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, among other relevant business or organizational needs. At BSC, it is not typical for an individual to be hired near the bottom or top of the anticipated salary range listed above. Compensation for non-exempt (hourly), non-sales roles may also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements).
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Day 74
Up longer than most. Similar jobs usually come down between day 7 and day 53.
Well past Boston Scientific’s usual: its jobs come down by about day 18.
From 7,896 similar postings that came down, and 69 of Boston Scientific’s. Coming down is not always a hire.
12 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
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 experience in Python and SQL skills. * Working knowledge of Model Context Protocol (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. * Experience working with enterprise data platforms in healthcare, life sciences, or medical technology. * Experience partnering with Quality, Regulatory, or Compliance teams and working within a Quality Management System (QMS), including practical knowledge of data integrity, traceability, validation, change control, and audit readiness. * Willingness to work with some overlap with India business hours. Preferred qualifications:
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:
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We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Requisition ID: 633602 Minimum Salary: $106800 Maximum Salary: $202900
Minimum Salary: $106800 Maximum Salary: $202900 The anticipated compensation listed above and the value of core and optional employee benefits offered by Boston Scientific (BSC) – see www.bscbenefitsconnect.com—will vary based on actual location of the position and other pertinent factors considered in determining actual compensation for the role. Compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, among other relevant business or organizational needs. At BSC, it is not typical for an individual to be hired near the bottom or top of the anticipated salary range listed above.
Arden Hills, MN, US
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:
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:
More relevant text appears in the full description.