Sr. Solutions Engineer - Digital Native Business (Strategic Accounts)

Databricks; United States; Remote; USD 150,000 - 190,000; Full time

Job summary

Databricks is seeking a Sr. Solutions Engineer in the United States to independently lead technical engagements, own discovery, solution design, and platform demonstrations.

You will build PoCs and live demos, own frontline relationships with customer engineers, and collaborate with the Account Executive on strategies to expand platform usage. The role requires strong Python/SQL, hands-on cloud data experience, and excellent presentation skills.

Qualifications

• 4+ years in data engineering, solutions architecture, technical pre-sales, or hands-on consulting.
• Proficient in Python and SQL with production-grade coding capabilities; live coding interview stage.
• Hands-on experience designing data solutions on AWS, Azure or GCP.
• Working knowledge of Spark/Delta Lake/Hadoop/Kafka or Flink.
• Experience leading technical customer conversations—discovery, whiteboarding, architecture reviews.
• Familiarity with data engineering, ML, or SQL analytics.
• Strong presentation and demo skills for live solution delivery.
• Bachelor's or Master's in CS/Engineering or equivalent experience.

Responsibilities

• Lead technical engagements for customers, owning discovery, design, and platform demos.
• Build and deliver proofs-of-concept and live demos to drive technical wins.
• Own frontline technical relationships with customer engineers and data teams.
• Develop account-level technical strategies with the Account Executive to grow platform usage.
• Articulate differentiators through hands-on demonstrations in competitive contexts.
• Contribute reusable assets to the solutions architect community.

Skills

Python

SQL

Cloud platforms

Distributed data systems

Customer conversations

Live coding

Data engineering / ML familiarity

Presentation & demos

Education

Bachelor's or Master's degree

Tools

Databricks Platform

Unity Catalog

MLflow

Lakeflow Pipelines

Job description

The Role

As a Sr. Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations. You are a builder who can code, architect, and present—combining technical depth with customer-facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage within Digital Native customers.

The Impact You Will Have

• Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning
• Build and deliver compelling proofs‑of‑concept and live demos on the Databricks Platform that drive technical wins
• Own frontline technical relationships with customer engineers, data teams, and technical leads
• Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption
• Navigate competitive landscapes by articulating Databricks differentiation through hands‑on demonstrations
• Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community

What We Look For

• 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands‑on consulting role
• Proficient in Python and SQL with demonstrated ability to debug, optimize, and write production‑quality code — live coding is a required interview stage
• Hands‑on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)
• Working knowledge of distributed data systems: Apache Spark, Delta Lake, or equivalent (Hadoop, Kafka, Flink)
• Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews
• Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics
• Strong presentation and demo skills — you will build and present a live solution during the interview
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent 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

Interview Process

Recruiter Screen -> Hiring Manager Screen -> Design and Architecture Interview -> Live Coding Assessment -> Build, Demo, Pitch! Presentation -> Reference Check

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 sk