Senior Data Solutions Engineer for AI & Analytics

Databricks; United States; On-site; USD 152,000 - 209,000; Full time

Job summary

Databricks is seeking a Sr. Solutions Engineer who will independently lead technical engagements, 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 develop account-level technical strategies with your Account Executive to grow platform usage, build proofs-of-concept, and deliver live demos across data engineering, analytics, and ML

Qualifications

• 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role
• Proficient in Python and SQL with live coding demonstrated during interview
• Hands-on experience designing data solutions on AWS, Azure, or GCP
• Knowledge of distributed data systems: Spark/Delta Lake, Hadoop, Kafka, Flink
• Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews
• Familiarity with data engineering (ETL/ELT, medallion architecture, streaming) or data science/ML or SQL analytics
• Strong presentation and demo skills to build and present live solutions
• Bachelor's or Master's degree in CS/Engineering or quantitative discipline
• Nice to Have: Databricks certification or Databricks Platform experience
• Experience with Unity Catalog, Lakeflow, or MLflow
• Background at a data/AI company, cloud provider, or technical consulting firm

Responsibilities

• 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.

Skills

Experience in data engineering

Python

SQL

Cloud platforms

Spark/Delta Lake

Customer conversations

ETL/ELT

Data science/ML

SQL analytics

Databricks platform

Unity Catalog / MLflow

Presentation & demos

Education

Bachelor's or Master's in CS/Engineering or quantitative discipline

Tools

Databricks Platform

Unity Catalog

Lakeflow/Declarative Pipelines

MLflow

Job description

Databricks is seeking a Sr. Solutions Engineer who will independently lead technical engagements, 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 develop account-level technical strategies with your Account Executive to grow platform usage, build proofs-of-concept, and deliver live demos across data engineering, analytics, and ML