Lead Solutions Architect – MedTech (Strategic Account)
Amsterdam · 10+ years experience · Hybrid · Posted Oct 20, 2026
At a glance
- Experience
- 10+ years experience
- Workplace
- Hybrid
- Location
- Amsterdam
About Databricks
- Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
About the role
- You will be the technical leader and lead architect for one of Databricks' most strategic global health technology customers.
- You will own the technical relationship and the Data + AI vision for a single complex enterprise spanning multiple business units, regions, and regulatory regimes.
Responsibilities
- Define the customer's enterprise Data + AI vision with CxO and VP stakeholders, tied directly to business priorities.
- Inspire CTOs, chief architects, and engineering leaders with working examples, and build prototypes yourself when it matters.
- Lead the account pod technically by setting direction for Solutions Architects, Specialist and Delivery SAs, Professional Services, and partners.
- 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.
Requirements
- 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.
- 10+ years in data engineering, analytics, ML or AI architecture, with significant customer-facing technical leadership.
- Deep, hands-on expertise in modern data and AI platforms.
- 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.
- 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.
- Understanding of privacy and data-sharing regimes (GDPR, HIPAA, European Health Data Space), and familiarity with healthcare data standards (DICOM, HL7, FHIR, OMOP).
Preferred qualifications
- Apache Spark, Delta Lake and Databricks experience is a strong plus.
- 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.
Benefits
- Comprehensive benefits and perks that meet the needs of all employees.
Workplace
- Hybrid workplace model.
Skills
- Python
- SQL
- Apache Spark
- Delta Lake
- Databricks
- GenAI
- MLOps
- DICOM
- HL7
- FHIR
- OMOP
- SAP