Lead Solutions Architect – MedTech (Strategic Account)

In this role you will guide the Data + AI strategy for a major Azure-first health technology customer, acting as the technical leader and architect for a multi-year, multi-region program. You will translate business priorities into an executable data and AI roadmap, and lead a cross-functional pod to deliver measurable value. You will demonstrate the platform’s potential to executives and engineers, building prototypes and scalable solutions that align with regulated industry governance. You will scale GenAI initiatives and shape Databricks’ product and GTM approach through field insights.

• Define the enterprise Data + AI vision with executive stakeholders and translate it into a concrete roadmap
• Lead the account pod (Solutions Architects, Specialists, Delivery SAs, Professional Services and partners) to deliver on the plan
• Align pre-sales, delivery and partners to present one Databricks team, plan and escalation path
• Lead discovery and solution design for high-risk deployments and drive them to production with measurable outcomes
• Scale GenAI and agent-centric AI from pilot to production across business units
• Build reusable IP (reference designs, accelerators, talks, blogs) for the health and life sciences community
• Develop C-level relationships across IT, data & AI, R&D, Regulatory, and business units and advocate for platform strategy and governance
• Influence product and go-to-market strategy with field insights and drive large modernization programs

• 10+ years in data engineering, analytics, ML or AI architecture with customer-facing leadership
• Deep hands-on expertise in modern data platforms; Spark, Delta Lake and Databricks experience is a strong plus
• Experience designing large-scale data platforms, migrations from legacy systems, and enterprise governance models
• Production ML, MLOps, GenAI and agent systems experience
• Proven ability to win platform decisions against competing platforms on architecture, cost, and governance
• Proficient in Python and SQL; capable of rapid prototyping, including AI-assisted development
• Domain knowledge in health tech, medical devices, life sciences or regulated industries and understanding of privacy/data-sharing regimes (GDPR, HIPAA) and healthcare data standards (DICOM, HL7, FHIR, OMOP)
• Understanding of EU MDR/IVDR, FDA SaMD and related regulatory frameworks; familiarity with 21 CFR Part 11 is a plus
• Experience building executive-level relationships and communicating across boardroom to engineering levels
• Experience working in multi-region, multi-business-unit, autonomous environments

• Excellent communicator across levels (boardroom to engineering)
• Strategic thinker with executive presence
• Autonomous and comfortable in ambiguity
• Apache Spark
• Delta Lake
• Databricks