Lead Solutions Architect – MedTech (Strategic Account)
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will be the technical leader and lead architect for a strategic global health technology customer. You will define the Data and AI vision with executives, lead a pod of solutions architects and partners, drive large modernisation programs and scale GenAI and agentic AI to production.
Requirements
- Proven record as lead technical figure on a large global enterprise account or as enterprise architect
- Experience leading virtual teams without direct authority
- 10+ years in data engineering, analytics, ML or AI architecture with customer-facing leadership
- Deep hands-on expertise in modern data and AI platforms
- Experience designing large-scale data platforms, governance and security models, MLOps and GenAI
- Ability to win platform decisions against competing platforms
- Proficient in Python and SQL
- Experience in health technology, life sciences or regulated industry
- Understanding of GDPR, HIPAA and healthcare data standards
Responsibilities
- Define the customer's enterprise Data and AI vision with CxO and VP stakeholders
- Build prototypes and inspire technical leaders with working examples
- Lead the account pod technically and coach architects
- Partner with the Account Executive on account strategy and consumption planning
- Lead discovery and solution design for strategic deployments
- Build C-level, VP and Director relationships
- Shape Databricks product and go-to-market strategy with field insight
- Scale GenAI and agentic AI from pilot to production
- Build partner ecosystem relationships
- Create reusable IP such as reference designs, accelerators, talks and blogs