Sr. Solutions Engineer - Digital Native Business (Strategic Accounts)
About this role
Independent technical engagements form the core of daily operations, requiring ownership of discovery, solution design, and platform demonstrations for strategic accounts. Databricks builds a unified data and AI platform utilized by thousands of organizations to scale applications, analytics, and machine learning models. Collaborative technical strategies developed alongside Account Executives drive platform consumption within Digital Native customers.
Professionals in this capacity own frontline relationships with customer engineers and technical leads while navigating competitive landscapes through hands-on architecture reviews. Ideal candidates combine deep coding capabilities in Python and SQL with strong presentation skills and a background in data engineering, solutions architecture, or technical pre-sales.
What you will do
- Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning.
- Build and deliver proofs-of-concept and live demonstrations on the Databricks Platform to secure technical wins.
- Own frontline technical relationships with customer engineers, data teams, and technical leads.
- Partner with Account Executives to develop account-level technical strategies that grow platform consumption.
- Navigate competitive landscapes by articulating platform differentiation through hands-on demonstrations.
- Contribute reusable technical assets such as notebooks, solution accelerators, and reference architectures to the broader community.
What you need
- Bring at least four years of experience in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role.
- Demonstrate proficiency in Python and SQL with the ability to debug, optimize, and write production-quality code.
- Possess hands-on experience designing and implementing data solutions on at least one public cloud platform including AWS, Azure, or GCP.
- Show working knowledge of distributed data systems like Apache Spark, Delta Lake, Hadoop, Kafka, or Flink.
- Exhibit experience leading technical customer conversations encompassing discovery, whiteboarding, and architecture reviews.
- Hold a Bachelor's or Master's degree in Computer Science, Engineering, a quantitative discipline, or equivalent practical experience.
Nice to have
- Databricks certification or experience with the Databricks Platform
- Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow
- Background at a data/AI company, cloud provider, or technical consulting firm
Skills and tech stack
Questions candidates ask
Where is this job located?
This is a remote position available in California, Colorado, Oregon, or Washington.
What is the salary range for this role?
The local pay range is $152,300 to $209,450 USD, with actual compensation based on factors like job-related skills, depth of experience, certifications, and location.
What does the interview process look like?
The hiring process consists of a recruiter screen, hiring manager screen, design and architecture interview, live coding assessment, and a build, demo, and pitch presentation followed by a reference check.
What technical skills are tested during the interviews?
Candidates participate in a required live coding stage and must build and present a live solution during the interview process.