Data Architect

inspiremedicalsystemsinc; Minneapolis (MN); On-site; USD 150,000 - 190,000; Full time

Job summary

Inspire Medical Systems is seeking a Data and Analytics Architect to define and evolve enterprise data architecture, enabling analytics, governance, integration, and AI capabilities. You will lead data platform modernization, data modeling, and data contracts across key business domains.

The role requires strong communication, mentorship, and experience with Azure/Databricks, APIs, and event-driven patterns to deliver scalable, trusted data assets for regulated environments.

Qualifications

• 8+ years designing enterprise-scale data platforms and analytics solutions.
• Strong expertise in data modeling and database design.
• Experience designing Lakehouse/Medallion data warehouse architecture.
• Experience defining integration patterns using APIs and event-driven architecture.
• Understanding of data governance, privacy, and compliance in regulated industries.
• Experience leading architecture decisions across multiple domains.
• Strong communication and stakeholder management skills.

Responsibilities

• Design and evolve modern data architectures using Lakehouse principles.
• Establish standards, governance, data contracts, and reusable data assets.
• Define trusted data products for analytics, AI, ML, and self-service reporting.
• Lead enterprise data modeling across business domains and interfaces.
• Collaborate with stakeholders to align investments with outcomes and compliance.
• Drive data platform modernization and API/event-driven strategies.
• Champion data management practices and architectural standards.
• Provide leadership and mentorship to distributed engineering teams.

Skills

Data modeling

Enterprise data platforms

Lakehouse architecture

Event-driven architecture

Data governance

Stakeholder management

Communication skills

Mentorship

Tools

Azure

Databricks

Job description

About Inspire Medical Systems

Inspire is the first of its kind medical device designed to make a difference in the lives of those living with Obstructive Sleep Apnea (OSA). We are revolutionizing the sleep industry with our FDA-approved medical device, designed to reduce OSA severity for those who cannot tolerate or get consistent benefit from CPAP. Inspire Medical Systems is committed to enhancing patients' lives through sleep innovation. We are steadfast in our commitment to prioritize patient outcomes, act with integrity and lead with respect. With positive persistence at our core, we are committed to all those we serve.

Why Join Our Fast-Growing Team

At Inspire, we value people - your diverse experiences, backgrounds, and thoughts. We elevate voices and encourage learning opportunities to build a professional network that grows into community. We embrace a people-first culture by offering excellent benefits, 401k matching, ESPP, flexible time off (FTO), and tuition reimbursement.

If you're passionate about making a difference in people's lives and want to work with innovative technology, come be a part of our great team!

Position Summary

The Data and Analytics Architect is responsible for defining and evolving the enterprise data architecture that enables analytics, operational reporting, data governance, integration, and AI-driven capabilities across Inspire. Partnering with business and technology teams, this role drives modernization of data platforms, establishes scalable data models and data products, and advances enterprise data management capabilities. The architect serves as a strategic leader, helping shape the organization's data strategy, enabling business transformation through trusted data, and ensuring technology investments align with long-term business objectives. The role provides enterprise architecture leadership, mentors technical talent, and guides distributed delivery teams in executing scalable and reliable data solutions.

Key Responsibilities

• Design and evolve modern data architectures using Medallion, Lakehouse, and scalable data platform principles.
• Establish architecture standards, governance practices, data contracts, and design patterns that promote scalable, reusable, and trusted data assets.
• Define and enable trusted data products that support analytics, AI, machine learning, self-service reporting, and operational decision-making.
• Lead enterprise data modeling and data contract strategy, including conceptual, logical, and physical models and well-defined interfaces across key business domains.
• Partner with business and technology stakeholders to align architecture investments with business outcomes and regulatory requirements.
• Drive data platform modernization and integration strategy using APIs, event-driven architecture, and modern data movement patterns.Partner with business stakeholders to establish data-driven KPIs, metrics, and measurement frameworks that support strategic decision-making and organizational performance.
• Champion the advancement of enterprise data management, engineering best practices, and architectural standards to improve consistency, quality, and operational effectiveness across the organization.
• Contribute to the enterprise data strategy and roadmap, identifying opportunities to modernize platforms, improve data capabilities, and support future business initiatives.
• Provide architectural leadership, technical mentorship, and delivery guidance for distributed and offshore engineering teams.

Required Qualifications

• 8+ years designing enterprise-scale data platforms and analytics solutions.
• Strong expertise in data modeling and database design.
• Experience designing modern Lakehouse or Medallion data warehouse architecture.
• Experience defining integration patterns using APIs, messaging, and event-driven architecture.
• Understanding of data governance, privacy, and compliance considerations within regulated industries.
• Experience leading architecture decisions across multiple business domains.
• Strong communication and stakeholder management skills.

Preferred Qualifications

• Experience with Microsoft Azure and Databricks, or similar ecosystems.
• Experience supporting AI, machine learning, or advanced analytics initiatives.
• Experience collaborating with data governance, metadata management, and master data management programs.
• Strong organizational, analytical, and problem-solving skills with the ability to manage competing priorities in a dynamic, results-oriented environment.
• Experience working within regulated industries and leading globally distributed delivery teams.

#LI-Onsite

The salary for this position will be offered at a level consistent with the experience and qualifications of the candidate. This information reflects the anticipated salary range for this position at the time of posting. The salary range may be modified in the future and actual compensation may vary from the posting based on various factors suc