Solutions Architect - Digital Native Business (Healthtech)
New
D
DatabricksHealthtech, data and AI
Source API remote eligibility restrictions: United StatesFull-TimeSenior
Salary180,000 - 247,500 USD per year
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Job Details
- Experience
- 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
- Required Skills
- AWSPythonSQLGCPMachine LearningAzureData engineeringData scienceSpark
Requirements
- Have 5+ years of experience in data engineering, data science, technical architecture, or a similar pre-sales or consulting role.
- Have experience building distributed data systems.
- Be comfortable programming in and debugging Python and SQL.
- Have built solutions with a public cloud provider such as AWS, Azure, or GCP.
- Have expertise in data engineering technologies such as Spark, Hadoop, or Kafka, or in data science and machine learning technologies such as pandas, scikit-learn, PyTorch, or TensorFlow.
- Be available to travel to customers in your region.
- Desired: Be familiar with healthcare data standards such as HL7, FHIR, EDI/X12, ICD-10, or CPT codes and healthcare compliance frameworks.
- Desired: Have experience working with or selling into pharmaceutical companies, biotech firms, CROs, or medical device companies.
- Desired: Have a degree in a quantitative discipline such as Computer Science, Applied Mathematics, or Operations Research.
- Nice to have: Databricks Certification.
Responsibilities
- Partner with the sales team to provide technical leadership and help customers understand how Databricks can address their business problems.
- Consult on Big Data architectures and implement proofs of concept for strategic projects across data engineering, data science, machine learning, and SQL analysis workflows.
- Validate integrations with cloud services, home-grown tools, and third-party applications.
- Collaborate with Solutions Architects to support colleagues and users.
- Promote Databricks-inspired open-source projects, including Spark, Delta Lake, and MLflow, and recruit contributors from the developer community.
- Guide customers on the competitive landscape, best practices, and implementation, and develop technical champions.
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