Remote opportunity at
DatabricksSolutions Architect - Strategic High Tech
Databricks is seeking a Strategic Solutions Architect to join the Digital Natives team on a remote basis. In this role, you will help shape the big…
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About This Role
Databricks is seeking a Strategic Solutions Architect to join the Digital Natives team on a remote basis. In this role, you will help shape the big data environment of a major global tech enterprise by collaborating with advanced data engineering and data science professionals. Reporting directly to the Field Engineering Manager, you will work closely with customer stakeholders, product teams, and client-facing personnel to design architectures and solutions leveraging Databricks…
Job Description
Databricks is seeking a Strategic Solutions Architect to join the Digital Natives team on a remote basis. In this role, you will help shape the big data environment of a major global tech enterprise by collaborating with advanced data engineering and data science professionals. Reporting directly to the Field Engineering Manager, you will work closely with customer stakeholders, product teams, and client-facing personnel to design architectures and solutions leveraging Databricks technology and APIs.
The position involves guiding a prominent AI-focused customer through implementation strategies, the competitive landscape, and industry best practices while cultivating technical champions. You will partner with sales representatives to deliver technical leadership and demonstrate how Databricks addresses complex business challenges. Additional duties include consulting on big data architectures, building proofs of concept for machine learning, data engineering, and SQL analysis workflows, and verifying integrations with cloud infrastructure, third-party software, and internal tools. Furthermore, you will champion open-source projects connected to Databricks within the developer community.
Databricks serves more than 20,000 organizations globally with its Data and AI Platform, enabling teams to scale and construct data and AI applications, analytics, and agents. The company maintains its headquarters in San Francisco alongside more than 30 global offices.
Responsibilities
- Partner with the sales team to provide technical leadership and explain platform capabilities to customers
- Consult on big data architectures and build proofs of concept for strategic machine learning, data science, data engineering, and SQL analysis workflows
- Validate integrations involving cloud services, third-party applications, and proprietary tools
- Collaborate with fellow Solutions Architects to support users and team members
- Promote and recruit contributors for open-source projects including Spark, Delta Lake, and MLflow
- Travel to customer sites within the designated region
Requirements
- At least 5 years of experience in a technical architecture, data engineering, data science, consulting, or pre-sales role
- Experience building distributed data systems
- Proficiency in programming and debugging using Python and SQL
- Background building solutions with public cloud providers such as AWS, Azure, or GCP
- Expertise in either data engineering technologies like Spark, Hadoop, and Kafka, or data science and machine learning technologies like pandas, scikit-learn, PyTorch, and TensorFlow
Qualifications
- Degree in a quantitative discipline such as Computer Science, Applied Mathematics, or Operations Research
- Databricks Certification
Core Skills
Benefits
- Eligibility for an annual performance bonus and equity
- Comprehensive regional benefits and perks offered by Databricks
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, this role is listed as remote, though candidates in other locations will also be considered.
What is the salary range for this role?
The local pay range is USD 180,000 to 247,500 per year, with total compensation potentially including equity and annual performance bonuses.
What experience is required to apply?
Applicants must have 5 or more years of experience in technical architecture, data engineering, data science, pre-sales, or consulting roles, alongside experience with distributed data systems, public cloud providers, and Python or SQL.
What if my experience does not match the job description perfectly?
Databricks encourages individuals to apply even if they do not have a perfect match, as they value smart and passionate people with non-linear career paths.
Sample Interview Questions
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