Solutions Architect - Digital Native Business (Healthtech)

As a Solutions Architect on the AI native team supporting the Digital Natives business, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world.

Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the digital native customers in Healthtech space.You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way.
The impact you will have:

- You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.

- Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications

- Collaborate with Solutions Architects, using your skills to support each other and our users

- Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

What we look for:

- 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role

- Experience building distributed data systems

- Comfortable programming in and debugging Python and SQL

- Have built solutions with public cloud providers such as AWS, Azure, or GCP

- Expertise in one of the following:

- Data Engineering technologies ( Ex: Spark, Hadoop, Kafka )

- Data Science and Machine Learning technologies ( Ex: pandas, scikit-learn, PyTorch, Tensorflow )

- Available to travel to customers in your region

- [Desired] Expertise in one of the following:

- Familiarity with healthcare data standards (HL7, FHIR, EDI/X12, ICD-10, CPT codes) and healthcare compliance frameworks.

- Experience working with or selling into pharmaceutical companies, biotech firms, CROs, or medical device companies

- [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)

- Nice to have: Databricks Certification

- Location: Remote (Pacific Time preferred; Mountain Time considered).

NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply. We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$180,000—$247,500 USD

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. Headqua