Senior Data Architect: Lakehouse & AI-Driven Analytics

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

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.