Lead Solutions Architect – MedTech (Strategic Account)
(FEQ128R42)
The Role
You will be the technical leader and lead architect for one of Databricks' most strategic global customers: a health technology company whose diagnostic, therapy, connected-care and consumer health products reach hundreds of millions of people every year. You will own the technical relationship and the Data + AI vision for a single complex enterprise that spans multiple business units, regions and regulatory regimes.
The account is a large, Azure-first Data Intelligence Platform customer. It runs a portfolio of well over a hundred use cases across business units and global functions, delivered as a multi-year program in quarterly releases. You will set the technical direction for that program and turn it into an executable roadmap. You will work as one team with the Account Executive and a dedicated pod of Solutions Architects, specialists, Professional Services and partners. We are looking for a visionary who can see where Data + AI will take health technology, explain that clearly to executives and engineers alike, and bring a large, distributed group of people with them!
The Impact You Will Have
Own and drive the technical vision
Define the customer's enterprise Data + AI vision with CxO and VP stakeholders, tied directly to business priorities. Be the executive suite's trusted advisor on platform strategy, build-vs-buy, responsible AI and regulated-industry governance.
Show, don't tell: inspire CTOs, chief architects and engineering leaders with working examples, and build prototypes yourself when it matters.
Lead the account pod technically: set direction for Solutions Architects, Specialist and Delivery SAs, Professional Services and partners, and coach them to raise the bar.
Partner with the Account Executive on account strategy and consumption planning, owning technical strategy and path to value for every major initiative.
Align pre-sales, delivery and partners so the customer sees one Databricks team, one plan and one escalation path, local to global. Lead discovery and solution design for strategic, high-risk deployments, driving each to production and measurable outcomes.
Build lasting C-level, VP and Director relationships across IT, data & AI, R&D, Quality & Regulatory, Service, Operations and the business units.
Be the customer's voice internally, shaping Databricks product and go-to-market strategy with field insight while leading the account's largest modernisation programs
Scale GenAI and agentic AI from pilot to production across business units.
Build partner ecosystem relationships (GSIs, ISVs, hyperscalers) to scale delivery.
Create reusable IP (reference designs, accelerators, talks, blogs) for the wider Databricks health and life sciences community.
What We Look For
(Note: it is not expected that you “tick every box” below and encourage you to apply if you are meeting several of the key criteria and can demonstrate a strong ability to transfer skills and develop quickly in the role!)
Proven record as lead technical figure on a large global enterprise account, or as enterprise/chief architect at a similar organisation, owning the vision over multiple years.
Experience leading virtual teams without direct authority: setting direction, coaching senior architects and aligning specialists, delivery and partners on one plan.
Thrives with high autonomy in ambiguous, high-stakes, multi-region, multi-business-unit environments. Excellent communicator, from boardroom to engineering floor, with clear written thinking.
Technical depth
10+ years in data engineering, analytics, ML or AI architecture, with significant customer-facing technical leadership (pre-sales, consulting or enterprise architecture).
Deep, hands-on expertise in modern data and AI platforms; Apache Spark, Delta Lake and Databricks experience is a strong plus.
Experience designing:
Large-scale data platforms and migrations from legacy warehouses, Hadoop or other clouds
Enterprise governance and security models
Production ML, MLOps, GenAI and agent systems
Proven ability to win platform decisions against hyperscaler-native and competing platforms on architecture, cost and governance.
Proficient in Python and SQL; able to prototype quickly, including with AI-assisted development.
Domain knowledge
Experience in health technology, medical devices, life sciences or another regulated industry, and a passion for improving patient outcomes with Data + AI.
Working knowledge of MedTech and medical AI regulation:
EU MDR/IVDR
FDA SaMD and Predetermined Change Control Plans
ISO 13485, IEC 62304 and ISO 14971
EU AI Act requirements for high-risk medical AI
Understanding of privacy and data-sharing regimes (GDPR, HIPAA, European Health Data Space). Familiarity with healthcare data standards (DICOM, HL7, FHIR, OMOP).
Nice to Have
Experience with or at a global MedTech, health technology or diagnostics company.
Experience designing validated, audit-ready (GxP / 21 CFR Part 11) data and AI environments. Enterprise-scale SAP data integration (BW, S/4HANA) and semantic harmonisation.
Public thought leadership: conference talks, publications or open source.
Dutch is a plus; professional English required.
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